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awesome-r

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A curated list of awesome R frameworks, libraries and software.

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# awesome-r

A curated list of awesome R frameworks, libraries and software.

* [cxli233/FriendsDontLetFriends](https://github.com/cxli233/FriendsDontLetFriends) - Friends don't let friends make certain types of data visualization - What are they and why are they bad.
* [tidyverse/ggplot2](https://github.com/tidyverse/ggplot2) - An implementation of the Grammar of Graphics in R
* [qinwf/awesome-R](https://github.com/qinwf/awesome-R) - A curated list of awesome R packages, frameworks and software.
* [rstudio/shiny](https://github.com/rstudio/shiny) - Easy interactive web applications with R
* [tidyverse/dplyr](https://github.com/tidyverse/dplyr) - dplyr: A grammar of data manipulation
* [swirldev/swirl_courses](https://github.com/swirldev/swirl_courses) - :mortar_board: A collection of interactive courses for the swirl R package.
* [rmcelreath/stat_rethinking_2022](https://github.com/rmcelreath/stat_rethinking_2022) - Statistical Rethinking course winter 2022
* [Rdatatable/data.table](https://github.com/Rdatatable/data.table) - R's data.table package extends data.frame:
* [twitter/AnomalyDetection](https://github.com/twitter/AnomalyDetection) - Anomaly Detection with R
* [rstudio/rmarkdown](https://github.com/rstudio/rmarkdown) - Dynamic Documents for R
* [satijalab/seurat](https://github.com/satijalab/seurat) - R toolkit for single cell genomics
* [plotly/plotly.R](https://github.com/plotly/plotly.R) - An interactive graphing library for R
* [r-lib/devtools](https://github.com/r-lib/devtools) - Tools to make an R developer's life easier
* [yihui/knitr](https://github.com/yihui/knitr) - A general-purpose tool for dynamic report generation in R
* [rmcelreath/rethinking](https://github.com/rmcelreath/rethinking) - Statistical Rethinking course and book package
* [rmcelreath/stat_rethinking_2023](https://github.com/rmcelreath/stat_rethinking_2023) - Statistical Rethinking Course for Jan-Mar 2023
* [IndrajeetPatil/ggstatsplot](https://github.com/IndrajeetPatil/ggstatsplot) - Enhancing {ggplot2} plots with statistical analysis 📊📣
* [tylermorganwall/rayshader](https://github.com/tylermorganwall/rayshader) - R Package for 2D and 3D mapping and data visualization
* [rstudio/gt](https://github.com/rstudio/gt) - Easily generate information-rich, publication-quality tables from R
* [ujjwalkarn/DataScienceR](https://github.com/ujjwalkarn/DataScienceR) - a curated list of R tutorials for Data Science, NLP and Machine Learning
* [karthik/wesanderson](https://github.com/karthik/wesanderson) - A Wes Anderson color palette for R
* [szilard/benchm-ml](https://github.com/szilard/benchm-ml) - A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
* [dreamRs/esquisse](https://github.com/dreamRs/esquisse) - RStudio add-in to make plots interactively with ggplot2
* [google/CausalImpact](https://github.com/google/CausalImpact) - An R package for causal inference in time series
* [tidyverse/tidyverse](https://github.com/tidyverse/tidyverse) - Easily install and load packages from the tidyverse
* [rstudio/blogdown](https://github.com/rstudio/blogdown) - Create Blogs and Websites with R Markdown
* [geocompx/geocompr](https://github.com/geocompx/geocompr) - Geocomputation with R: an open source book
* [rstudio/reticulate](https://github.com/rstudio/reticulate) - R Interface to Python
* [rich-iannone/DiagrammeR](https://github.com/rich-iannone/DiagrammeR) - Graph and network visualization using tabular data in R
* [EmilHvitfeldt/r-color-palettes](https://github.com/EmilHvitfeldt/r-color-palettes) - Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
* [mlr-org/mlr](https://github.com/mlr-org/mlr) - Machine Learning in R
* [topepo/caret](https://github.com/topepo/caret) - caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
* [nanxstats/awesome-shiny-extensions](https://github.com/nanxstats/awesome-shiny-extensions) - 🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny
* [bbc/bbplot](https://github.com/bbc/bbplot) - R package that helps create and export ggplot2 charts in the style used by the BBC News data team
* [tidymodels/broom](https://github.com/tidymodels/broom) - Convert statistical analysis objects from R into tidy format
* [tidyverse/rvest](https://github.com/tidyverse/rvest) - Simple web scraping for R
* [sfirke/janitor](https://github.com/sfirke/janitor) - simple tools for data cleaning in R
* [r-spatial/sf](https://github.com/r-spatial/sf) - Simple Features for R
* [rstudio/plumber](https://github.com/rstudio/plumber) - Turn your R code into a web API.
* [tidyverse/tidyr](https://github.com/tidyverse/tidyr) - Tidy Messy Data
* [griffithlab/rnaseq_tutorial](https://github.com/griffithlab/rnaseq_tutorial) - Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
* [paul-buerkner/brms](https://github.com/paul-buerkner/brms) - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
* [tidyverse/purrr](https://github.com/tidyverse/purrr) - A functional programming toolkit for R
* [hadley/mastering-shiny](https://github.com/hadley/mastering-shiny) - Mastering Shiny: a book
* [hrbrmstr/hrbrthemes](https://github.com/hrbrmstr/hrbrthemes) - :lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components
* [rstudio/tensorflow](https://github.com/rstudio/tensorflow) - TensorFlow for R
* [ropensci/drake](https://github.com/ropensci/drake) - An R-focused pipeline toolkit for reproducibility and high-performance computing
* [r-lib/lintr](https://github.com/r-lib/lintr) - Static Code Analysis for R
* [mitchelloharawild/vitae](https://github.com/mitchelloharawild/vitae) - R Markdown Résumés and CVs
* [BlakeRMills/MetBrewer](https://github.com/BlakeRMills/MetBrewer) - Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
* [wch/r-source](https://github.com/wch/r-source) - Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
* [swirldev/swirl](https://github.com/swirldev/swirl) - :cyclone: Learn R, in R.
* [ddsjoberg/gtsummary](https://github.com/ddsjoberg/gtsummary) - Presentation-Ready Data Summary and Analytic Result Tables
* [juliasilge/tidytext](https://github.com/juliasilge/tidytext) - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
* [TheAlgorithms/R](https://github.com/TheAlgorithms/R) - Collection of various algorithms implemented in R.
* [robjhyndman/forecast](https://github.com/robjhyndman/forecast) - Forecasting Functions for Time Series and Linear Models
* [rstudio/renv](https://github.com/rstudio/renv) - renv: Project environments for R.
* [easystats/easystats](https://github.com/easystats/easystats) - :milky_way: The R easystats-project
* [matloff/fasteR](https://github.com/matloff/fasteR) - Fast Lane to Learning R!
* [easystats/performance](https://github.com/easystats/performance) - :muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
* [thomasp85/ggraph](https://github.com/thomasp85/ggraph) - Grammar of Graph Graphics
* [ropensci/targets](https://github.com/ropensci/targets) - Function-oriented Make-like declarative workflows for R
* [stan-dev/rstan](https://github.com/stan-dev/rstan) - RStan, the R interface to Stan
* [mlr-org/mlr3](https://github.com/mlr-org/mlr3) - mlr3: Machine Learning in R - next generation
* [EmilHvitfeldt/paletteer](https://github.com/EmilHvitfeldt/paletteer) - 🎨🎨🎨 Collection of most color palettes in a single R package
* [tidyverse/readr](https://github.com/tidyverse/readr) - Read flat files (csv, tsv, fwf) into R
* [jokergoo/circlize](https://github.com/jokergoo/circlize) - Circular visualization in R
* [futureverse/future](https://github.com/futureverse/future) - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
* [MichelNivard/gptstudio](https://github.com/MichelNivard/gptstudio) - GPT RStudio addins that enable GPT assisted coding, writing & analysis
* [r-lib/httr](https://github.com/r-lib/httr) - httr: a friendly http package for R
* [tidyverse/magrittr](https://github.com/tidyverse/magrittr) - Improve the readability of R code with the pipe
* [sparklyr/sparklyr](https://github.com/sparklyr/sparklyr) - R interface for Apache Spark
* [klmr/box](https://github.com/klmr/box) - Write reusable, composable and modular R code
* [cutterkom/generativeart](https://github.com/cutterkom/generativeart) - Create Generative Art with R
* [hadley/r-pkgs](https://github.com/hadley/r-pkgs) - Building R packages
* [easystats/see](https://github.com/easystats/see) - :art: Visualisation toolbox for beautiful and publication-ready figures
* [ThinkR-open/golem](https://github.com/ThinkR-open/golem) - A Framework for Building Robust Shiny Apps
* [r-lib/testthat](https://github.com/r-lib/testthat) - An R 📦 to make testing 😀
* [ipea/geobr](https://github.com/ipea/geobr) - Easy access to official spatial data sets of Brazil in R and Python
* [YuLab-SMU/ggtree](https://github.com/YuLab-SMU/ggtree) - :christmas_tree:Visualization and annotation of phylogenetic trees
* [rstudio/pagedown](https://github.com/rstudio/pagedown) - Paginate the HTML Output of R Markdown with CSS for Print
* [MilesMcBain/datapasta](https://github.com/MilesMcBain/datapasta) - On top of spaghetti, all covered in cheese....
* [r-lib/usethis](https://github.com/r-lib/usethis) - Set up commonly used 📦 components
* [Mikata-Project/ggthemr](https://github.com/Mikata-Project/ggthemr) - Themes for ggplot2.
* [workflowr/workflowr](https://github.com/workflowr/workflowr) - Organize your project into a research website
* [joshuaulrich/quantmod](https://github.com/joshuaulrich/quantmod) - Quantitative Financial Modelling Framework
* [r-tmap/tmap](https://github.com/r-tmap/tmap) - R package for thematic maps
* [rdpeng/ProgrammingAssignment2](https://github.com/rdpeng/ProgrammingAssignment2) - Repository for Programming Assignment 2 for R Programming on Coursera
* [quanteda/quanteda](https://github.com/quanteda/quanteda) - An R package for the Quantitative Analysis of Textual Data
* [mjskay/ggdist](https://github.com/mjskay/ggdist) - Visualizations of distributions and uncertainty
* [dselivanov/text2vec](https://github.com/dselivanov/text2vec) - Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
* [google/rappor](https://github.com/google/rappor) - RAPPOR: Privacy-Preserving Reporting Algorithms
* [dreamRs/shinyWidgets](https://github.com/dreamRs/shinyWidgets) - shinyWidgets : Extend widgets available in shiny
* [grabear/awesome-rshiny](https://github.com/grabear/awesome-rshiny) - An awesome R-shiny list!
* [pbiecek/xai_resources](https://github.com/pbiecek/xai_resources) - Interesting resources related to XAI (Explainable Artificial Intelligence)
* [rstudio/keras3](https://github.com/rstudio/keras3) - R Interface to Keras
* [z3tt/TidyTuesday](https://github.com/z3tt/TidyTuesday) - My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.
* [ramnathv/slidify](https://github.com/ramnathv/slidify) - Generate reproducible html5 slides from R markdown
* [GuangchuangYu/hexSticker](https://github.com/GuangchuangYu/hexSticker) - :sparkles: Hexagon sticker in R
* [erikaduan/r_tips](https://github.com/erikaduan/r_tips) - R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
* [mdozmorov/scRNA-seq_notes](https://github.com/mdozmorov/scRNA-seq_notes) - A list of scRNA-seq analysis tools
* [rmcelreath/stat_rethinking_2026](https://github.com/rmcelreath/stat_rethinking_2026) - Statistical Rethinking Course 2026
* [tidyverse/lubridate](https://github.com/tidyverse/lubridate) - Make working with dates in R just that little bit easier
* [ramnathv/htmlwidgets](https://github.com/ramnathv/htmlwidgets) - HTML Widgets for R
* [hrbrmstr/waffle](https://github.com/hrbrmstr/waffle) - :maple_leaf: Make waffle (square pie) charts in R
* [gadenbuie/tidyexplain](https://github.com/gadenbuie/tidyexplain) - 🤹‍♀ Animations of tidyverse verbs using R, the tidyverse, and gganimate
* [sqjin/CellChat](https://github.com/sqjin/CellChat) - R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
* [tidymodels/infer](https://github.com/tidymodels/infer) - An R package for tidyverse-friendly statistical inference
* [jennybc/googlesheets](https://github.com/jennybc/googlesheets) - Google Spreadsheets R API
* [jalapic/engsoccerdata](https://github.com/jalapic/engsoccerdata) - English and European soccer results 1871-2022
* [dmpe/R](https://github.com/dmpe/R) - Exercises (incl. analyses) with R language (math+statistics)
* [ropensci-archive/rtweet](https://github.com/ropensci-archive/rtweet) - 🐦 R client for interacting with Twitter's [stream and REST] APIs
* [dkahle/ggmap](https://github.com/dkahle/ggmap) - A package for plotting maps in R with ggplot2
* [r-spatial/rgee](https://github.com/r-spatial/rgee) - Google Earth Engine for R
* [r-lib/pkgdown](https://github.com/r-lib/pkgdown) - Generate static html documentation for an R package
* [r-lib/styler](https://github.com/r-lib/styler) - Non-invasive pretty printing of R code
* [tidyverse/tibble](https://github.com/tidyverse/tibble) - A modern re-imagining of the data frame
* [tidyverse/reprex](https://github.com/tidyverse/reprex) - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
* [daattali/shinyjs](https://github.com/daattali/shinyjs) - 💡 Easily improve the user experience of your Shiny apps in seconds
* [tidyverse/glue](https://github.com/tidyverse/glue) - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
* [mjskay/tidybayes](https://github.com/mjskay/tidybayes) - Bayesian analysis + tidy data + geoms (R package)
* [jbkunst/highcharter](https://github.com/jbkunst/highcharter) - R wrapper for highcharts
* [rstudio/learnr](https://github.com/rstudio/learnr) - Interactive Tutorials with R Markdown
* [benmarwick/rrtools](https://github.com/benmarwick/rrtools) - rrtools: Tools for Writing Reproducible Research in R
* [r-lib/cli](https://github.com/r-lib/cli) - Tools for making beautiful & useful command line interfaces
* [easystats/report](https://github.com/easystats/report) - :scroll: :tada: Automated reporting of objects in R
* [ben519/MLPB](https://github.com/ben519/MLPB) - Machine Learning Problem Bible | Problem Set Here >>
* [rstudio/ggvis](https://github.com/rstudio/ggvis) - Interactive grammar of graphics for R
* [r-lidar/lidR](https://github.com/r-lidar/lidR) - Airborne LiDAR data manipulation and visualisation for forestry application
* [davidgohel/officer](https://github.com/davidgohel/officer) - :cop: officer: office documents from R
* [hrbrmstr/ggalt](https://github.com/hrbrmstr/ggalt) - :earth_americas: Extra Coordinate Systems, Geoms,  Statistical Transformations & Scales for 'ggplot2'
* [walkerke/tidycensus](https://github.com/walkerke/tidycensus) - Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R
* [daattali/timevis](https://github.com/daattali/timevis) - 📅 Create interactive timeline visualizations in R
* [tidyverse/dtplyr](https://github.com/tidyverse/dtplyr) - Data table backend for dplyr
* [REditorSupport/languageserver](https://github.com/REditorSupport/languageserver) - An implementation of the Language Server Protocol for R
* [immunogenomics/harmony](https://github.com/immunogenomics/harmony) - Fast, sensitive and accurate integration of single-cell data with Harmony
* [tidyverse/stringr](https://github.com/tidyverse/stringr) - A fresh approach to string manipulation in R
* [rstudio/RStartHere](https://github.com/rstudio/RStartHere) - A guide to some of the most useful R Packages that we know about
* [christophergandrud/networkD3](https://github.com/christophergandrud/networkD3) - D3 JavaScript Network Graphs from R
* [leedrake5/Russia-Ukraine](https://github.com/leedrake5/Russia-Ukraine) - Equipment Loss Tracking
* [r-lib/roxygen2](https://github.com/r-lib/roxygen2) - Generate R package documentation from inline R comments
* [rmcelreath/stat_rethinking_2020](https://github.com/rmcelreath/stat_rethinking_2020) - Statistical Rethinking Course Winter 2020/2021
* [joey711/phyloseq](https://github.com/joey711/phyloseq) - phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:
* [strengejacke/sjPlot](https://github.com/strengejacke/sjPlot) - sjPlot - Data Visualization for Statistics in Social Science
* [massimoaria/bibliometrix](https://github.com/massimoaria/bibliometrix) - An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
* [amplab-extras/SparkR-pkg](https://github.com/amplab-extras/SparkR-pkg) - R frontend for Spark
* [jinworks/CellChat](https://github.com/jinworks/CellChat) - R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
* [KentonWhite/ProjectTemplate](https://github.com/KentonWhite/ProjectTemplate) - A template utility for R projects that provides a skeletal project.
* [JohnCoene/echarts4r](https://github.com/JohnCoene/echarts4r) - Echarts 5 for R
* [fstpackage/fst](https://github.com/fstpackage/fst) - Lightning Fast Serialization of Data Frames for R
* [davidgohel/flextable](https://github.com/davidgohel/flextable) - table farming
* [ajdamico/asdfree](https://github.com/ajdamico/asdfree) - analyze survey data for free
* [elbersb/tidylog](https://github.com/elbersb/tidylog) - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
* [nstrayer/datadrivencv](https://github.com/nstrayer/datadrivencv) - R package for building customizable CVs from spreadsheets
* [gesistsa/rio](https://github.com/gesistsa/rio) - 🐟 A Swiss-Army Knife for Data I/O
* [tidymodels/recipes](https://github.com/tidymodels/recipes) - Pipeable steps for feature engineering and data preprocessing to prepare for modeling
* [igraph/rigraph](https://github.com/igraph/rigraph) - igraph R package
* [ggobi/ggally](https://github.com/ggobi/ggally) - R package that extends ggplot2
* [toddwschneider/ballr](https://github.com/toddwschneider/ballr) - Interactive NBA and NCAA Shot Charts with R and Shiny
* [tidyverse/ellmer](https://github.com/tidyverse/ellmer) - Call LLM APIs from R
* [r-spatial/stars](https://github.com/r-spatial/stars) - Spatiotemporal Arrays, Raster and Vector Data Cubes
* [JaseZiv/worldfootballR](https://github.com/JaseZiv/worldfootballR) - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
* [wilkox/gggenes](https://github.com/wilkox/gggenes) - ➡️️➡️️⬅️️➡️️ Draw gene arrow maps in ggplot2
* [DiskFrame/disk.frame](https://github.com/DiskFrame/disk.frame) - Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data
* [tidymodels/corrr](https://github.com/tidymodels/corrr) - Explore correlations in R
* [easystats/bayestestR](https://github.com/easystats/bayestestR) - :ghost: Utilities for analyzing Bayesian models and posterior distributions
* [pzhaonet/mindr](https://github.com/pzhaonet/mindr) - an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)
* [r-lib/rlang](https://github.com/r-lib/rlang) - Low-level API for programming with R
* [rstudio/blastula](https://github.com/rstudio/blastula) - Easily send great-looking HTML email messages from R
* [thomasp85/tidygraph](https://github.com/thomasp85/tidygraph) - A tidy API for graph manipulation
* [pola-rs/r-polars](https://github.com/pola-rs/r-polars) - Polars R bindings
* [ropensci/tabulapdf](https://github.com/ropensci/tabulapdf) - Bindings for Tabula PDF Table Extractor Library
* [tidyverse/forcats](https://github.com/tidyverse/forcats) - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
* [chris-mcginnis-ucsf/DoubletFinder](https://github.com/chris-mcginnis-ucsf/DoubletFinder) - R package for detecting doublets in single-cell RNA sequencing data
* [MRCIEU/TwoSampleMR](https://github.com/MRCIEU/TwoSampleMR) - R package for performing 2-sample MR using IEU OpenGWAS database
* [dcomtois/summarytools](https://github.com/dcomtois/summarytools) - R Package to Quickly and Neatly Summarize Data
* [maksimhorowitz/nflscrapR](https://github.com/maksimhorowitz/nflscrapR) - R Package for Scraping and Aggregating NFL Data
* [tidyverts/tsibble](https://github.com/tidyverts/tsibble) - Tidy Temporal Data Frames and Tools
* [boxuancui/DataExplorer](https://github.com/boxuancui/DataExplorer) - Automate Data Exploration and Treatment
* [sinhrks/ggfortify](https://github.com/sinhrks/ggfortify) - Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
* [e-sensing/sits](https://github.com/e-sensing/sits) - Satellite image time series in R
* [vegandevs/vegan](https://github.com/vegandevs/vegan) - R package for community ecologists: popular ordination methods, ecological null models & diversity analysis
* [tribalxg/redoc](https://github.com/tribalxg/redoc) - Reversible Reproducible Documents
* [nflverse/nflfastR](https://github.com/nflverse/nflfastR) - A Set of Functions to Efficiently Scrape NFL Play by Play Data
* [marcusvolz/mathart](https://github.com/marcusvolz/mathart) - Create mathematical art with R
* [r-dbi/bigrquery](https://github.com/r-dbi/bigrquery) - An interface to Google's BigQuery from R.
* [cynkra/dm](https://github.com/cynkra/dm) - Working with relational data models in R
* [rstudio/r2d3](https://github.com/rstudio/r2d3) - R Interface to D3 Visualizations
* [corybrunson/ggalluvial](https://github.com/corybrunson/ggalluvial) - ggplot2 extension for alluvial plots
* [mca91/EconometricsWithR](https://github.com/mca91/EconometricsWithR) - 📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
* [rstudio/hex-stickers](https://github.com/rstudio/hex-stickers) - RStudio hex stickers
* [bedatadriven/renjin](https://github.com/bedatadriven/renjin) - JVM-based interpreter for the R language for the statistical analysis.
* [tidyverse/dbplyr](https://github.com/tidyverse/dbplyr) - Database (DBI) backend for dplyr
* [Appsilon/shiny.semantic](https://github.com/Appsilon/shiny.semantic) - Shiny support for powerful Fomantic UI library.
* [yrosseel/lavaan](https://github.com/yrosseel/lavaan) - an R package for structural equation modeling and more
* [hadley/plyr](https://github.com/hadley/plyr) - A R package for splitting, applying and combining large problems into simpler problems
* [giuseppec/iml](https://github.com/giuseppec/iml) - iml: interpretable machine learning R package
* [PoisonAlien/maftools](https://github.com/PoisonAlien/maftools) - Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
* [easystats/parameters](https://github.com/easystats/parameters) - :bar_chart: Computation and processing of models' parameters
* [tidymodels/lime](https://github.com/tidymodels/lime) - Local Interpretable Model-Agnostic Explanations (R port of original Python package)
* [MathiasHarrer/Doing-Meta-Analysis-in-R](https://github.com/MathiasHarrer/Doing-Meta-Analysis-in-R) - [Read-Only] All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"
* [kassambara/rstatix](https://github.com/kassambara/rstatix) - Pipe-friendly Framework for Basic Statistical Tests in R
* [gadenbuie/regexplain](https://github.com/gadenbuie/regexplain) - 🔍 An RStudio addin slash regex utility belt
* [RConsortium/S7](https://github.com/RConsortium/S7) - S7: a new OO system for R
* [tonyfischetti/assertr](https://github.com/tonyfischetti/assertr) - Assertive programming for R analysis pipelines
* [ropensci/magick](https://github.com/ropensci/magick) - Magic, madness, heaven, sin
* [ropensci-review-tools/goodpractice](https://github.com/ropensci-review-tools/goodpractice) - Advice on R Package Building
* [thomasp85/scico](https://github.com/thomasp85/scico) - Palettes for R based on the Scientific Colour-Maps
* [r-lib/progress](https://github.com/r-lib/progress) - Progress bar in your R terminal
* [RinteRface/shinydashboardPlus](https://github.com/RinteRface/shinydashboardPlus) - extensions for shinydashboard
* [r-causal/ggdag](https://github.com/r-causal/ggdag) - :arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
* [ropensci/visdat](https://github.com/ropensci/visdat) - Preliminary Exploratory Visualisation of Data
* [GreenleafLab/ArchR](https://github.com/GreenleafLab/ArchR) - ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
* [twbattaglia/RNAseq-workflow](https://github.com/twbattaglia/RNAseq-workflow) - A repository for setting up a RNAseq workflow
* [RinteRface/bs4Dash](https://github.com/RinteRface/bs4Dash) - Bootstrap 4 shinydashboard using AdminLTE3
* [rudeboybert/fivethirtyeight](https://github.com/rudeboybert/fivethirtyeight) - R package of data and code behind the stories and interactives at FiveThirtyEight
* [easystats/correlation](https://github.com/easystats/correlation) - :link: Methods for Correlation Analysis
* [ThinkR-open/remedy](https://github.com/ThinkR-open/remedy) - RStudio Addins to Simplify Markdown Writing
* [LKremer/ggpointdensity](https://github.com/LKremer/ggpointdensity) - :chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
* [ewenme/ghibli](https://github.com/ewenme/ghibli) - Studio Ghibli colour palettes
* [r-lib/scales](https://github.com/r-lib/scales) - Tools for ggplot2 scales
* [ryantimpe/brickr](https://github.com/ryantimpe/brickr) - 3D LEGO models and mosaics from images using R and #tidyverse
* [therneau/survival](https://github.com/therneau/survival) - Survival package for R
* [ropensci/stplanr](https://github.com/ropensci/stplanr) - Sustainable transport planning with R
* [stan-dev/bayesplot](https://github.com/stan-dev/bayesplot) - bayesplot R package for plotting Bayesian models
* [MarioniLab/miloR](https://github.com/MarioniLab/miloR) - R package implementation of Milo for testing for differential abundance in KNN graphs
* [PaulC91/shinyauthr](https://github.com/PaulC91/shinyauthr) - R package with shiny authentication modules
* [easystats/insight](https://github.com/easystats/insight) - :crystal_ball: Easy access to model information for various model objects
* [trinker/sentimentr](https://github.com/trinker/sentimentr) - Dictionary based sentiment analysis that considers valence shifters
* [wleepang/DesktopDeployR](https://github.com/wleepang/DesktopDeployR) - A framework for deploying self-contained R-based applications to the desktop
* [rstats-wtf/what-they-forgot](https://github.com/rstats-wtf/what-they-forgot) - "What They Forgot to Teach You About R" website / eBook
* [r-lib/here](https://github.com/r-lib/here) - A simpler way to find your files
* [data-cleaning/validate](https://github.com/data-cleaning/validate) - Professional data validation for the R environment
* [welch-lab/liger](https://github.com/welch-lab/liger) - R package for integrating and analyzing multiple single-cell datasets
* [rstudio/tufte](https://github.com/rstudio/tufte) - Tufte Styles for R Markdown Documents
* [BillPetti/baseballr](https://github.com/BillPetti/baseballr) - A package written for R focused on baseball analysis. Currently in development.
* [RamiKrispin/TSstudio](https://github.com/RamiKrispin/TSstudio) - Tools for time series analysis and forecasting
* [r-lib/R6](https://github.com/r-lib/R6) - Encapsulated object-oriented programming for R
* [jennybc/row-oriented-workflows](https://github.com/jennybc/row-oriented-workflows) - Row-oriented workflows in R with the tidyverse
* [stuart-lab/signac](https://github.com/stuart-lab/signac) - R toolkit for the analysis of single-cell chromatin data
* [RinteRface/shinyMobile](https://github.com/RinteRface/shinyMobile) - shiny API for Framework7 (IOS/android)
* [hadley/emo](https://github.com/hadley/emo) - Easily insert emoji into R and RMarkdown
* [grantmcdermott/tinyplot](https://github.com/grantmcdermott/tinyplot) - Lightweight extension of the base R graphics system
* [bstewart/stm](https://github.com/bstewart/stm) - An R Package for the Structural Topic Model
* [anthonynorth/rscodeio](https://github.com/anthonynorth/rscodeio) - An RStudio theme inspired by Visual Studio Code.
* [susanli2016/Data-Analysis-with-R](https://github.com/susanli2016/Data-Analysis-with-R) - Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
* [swsoyee/2019-ncov-japan](https://github.com/swsoyee/2019-ncov-japan) - 🦠 Interactive dashboard for real-time recording of COVID-19 outbreak in Japan
* [xia-lab/MetaboAnalystR](https://github.com/xia-lab/MetaboAnalystR) - R package for MetaboAnalyst
* [talgalili/heatmaply](https://github.com/talgalili/heatmaply) - Interactive Heat Maps for R Using plotly
* [rstudio/packrat](https://github.com/rstudio/packrat) - Packrat is a dependency management system for R
* [kabacoff/RiA2](https://github.com/kabacoff/RiA2) - Source code for R in Action, Second Edition
* [riatelab/cartography](https://github.com/riatelab/cartography) - Thematic Cartography for R
* [Yunuuuu/ggalign](https://github.com/Yunuuuu/ggalign) - Integrative Composable Visualization Framework for ggplot2
* [tidyverse/modelr](https://github.com/tidyverse/modelr) - Helper functions for modelling
* [stan-dev/rstanarm](https://github.com/stan-dev/rstanarm) - rstanarm R package for Bayesian applied regression modeling
* [junjunlab/scRNAtoolVis](https://github.com/junjunlab/scRNAtoolVis) - Useful functions to make your scRNA-seq plot more cool!
* [const-ae/ggupset](https://github.com/const-ae/ggupset) - Combination matrix axis for 'ggplot2' to create 'UpSet' plots
* [yusuzech/r-web-scraping-cheat-sheet](https://github.com/yusuzech/r-web-scraping-cheat-sheet) - Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.
* [luukvdmeer/sfnetworks](https://github.com/luukvdmeer/sfnetworks) - Tidy Geospatial Networks in R
* [tidyverse/duckplyr](https://github.com/tidyverse/duckplyr) - A drop-in replacement for dplyr, powered by DuckDB for speed.
* [daattali/ggExtra](https://github.com/daattali/ggExtra) - 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements
* [krzjoa/awesome-r-dataviz](https://github.com/krzjoa/awesome-r-dataviz) - Curated resources about Data Visualization, Drawing & Publishing in R
* [mkearney/tweetbotornot](https://github.com/mkearney/tweetbotornot) - 🤖 R package for detecting Twitter bots via machine learning
* [dgrtwo/data-screencasts](https://github.com/dgrtwo/data-screencasts) - Code from live exploratory analyses of data in R
* [r-lib/fs](https://github.com/r-lib/fs) - Provide cross platform file operations based on libuv.
* [cloudyr/aws.s3](https://github.com/cloudyr/aws.s3) - Amazon Simple Storage Service (S3) API Client
* [SurajGupta/r-source](https://github.com/SurajGupta/r-source) - R Source Code
* [dupadhyaya/Ranalytics18](https://github.com/dupadhyaya/Ranalytics18) - My work on Analytics and Research in Data Science
* [bkelly-lab/ReplicationCrisis](https://github.com/bkelly-lab/ReplicationCrisis) - Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2023)
* [sillyplots/spotifyr](https://github.com/sillyplots/spotifyr) - R wrapper for Spotify's Web API
* [tidyverse/googlesheets4](https://github.com/tidyverse/googlesheets4) - Google Spreadsheets R API (reboot of the googlesheets package)
* [BorchLab/scRepertoire](https://github.com/BorchLab/scRepertoire) - A toolkit for single-cell immune profiling
* [ropensci/rix](https://github.com/ropensci/rix) - Reproducible Data Science environments for R with Nix
* [JoaquinAmatRodrigo/Estadistica-con-R](https://github.com/JoaquinAmatRodrigo/Estadistica-con-R) - Apuntes personales sobre estadística, machine learning y lenguaje de programación R
* [bernatgel/karyoploteR](https://github.com/bernatgel/karyoploteR) - karyoploteR - An R/Bioconductor package to plot arbitrary data along the genome
* [PMassicotte/gtrendsR](https://github.com/PMassicotte/gtrendsR) - R functions to perform and display Google Trends queries
* [vincentarelbundock/countrycode](https://github.com/vincentarelbundock/countrycode) - R package: Convert country names and country codes. Assigns region descriptors.
* [cols4all/cols4all-R](https://github.com/cols4all/cols4all-R) - Colors for all (R package)
* [eddelbuettel/r2u](https://github.com/eddelbuettel/r2u) - CRAN as Ubuntu Binaries
* [Azure/Microsoft365R](https://github.com/Azure/Microsoft365R) - R SDK for interacting with Microsoft 365 APIs
* [awalker89/openxlsx](https://github.com/awalker89/openxlsx) - R package for .xlsx file reading and writing.
* [jlmelville/uwot](https://github.com/jlmelville/uwot) - An R package implementing the UMAP dimensionality reduction method.
* [r-hub/rhub](https://github.com/r-hub/rhub) - R-hub API client
* [max-alletsee/rstudio-themes](https://github.com/max-alletsee/rstudio-themes) - A collection of themes for RStudio
* [walkerke/tigris](https://github.com/walkerke/tigris) - Download and use Census TIGER/Line shapefiles in R
* [salimk/Rcrawler](https://github.com/salimk/Rcrawler) - An R web crawler and scraper
* [stemangiola/tidyHeatmap](https://github.com/stemangiola/tidyHeatmap) - Draw heatmap simply using a tidy data frame
* [mages/googleVis](https://github.com/mages/googleVis) - Interface between R and the Google Chart Tools
* [openair-project/openair](https://github.com/openair-project/openair) - 🧭 Open source tools for air quality data analysis
* [tashapiro/tanya-data-viz](https://github.com/tashapiro/tanya-data-viz) - Personal data visualization side projects.
* [r-lib/remotes](https://github.com/r-lib/remotes) - Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs
* [pablobarbera/Rfacebook](https://github.com/pablobarbera/Rfacebook) - Dev version of Rfacebook package: Access to Facebook API via R
* [hafen/geofacet](https://github.com/hafen/geofacet) - R package for geographical faceting with ggplot2
* [easystats/effectsize](https://github.com/easystats/effectsize) - :dragon: Compute and work with indices of effect size and standardized parameters
* [BioinformaticsFMRP/TCGAbiolinks](https://github.com/BioinformaticsFMRP/TCGAbiolinks) - TCGAbiolinks
* [ropensci/RSelenium](https://github.com/ropensci/RSelenium) - An R client for Selenium Remote WebDriver
* [nathaneastwood/poorman](https://github.com/nathaneastwood/poorman) - A poor man's dependency free grammar of data manipulation
* [taiyun/corrplot](https://github.com/taiyun/corrplot) - A visual exploratory tool on correlation matrix
* [joshuaulrich/TTR](https://github.com/joshuaulrich/TTR) - Technical analysis and other functions to construct technical trading rules with R
* [EasyD/IntroToDataScience](https://github.com/EasyD/IntroToDataScience) - GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.
* [swarm-lab/editR](https://github.com/swarm-lab/editR) - A Rmarkdown editor with instant preview
* [r-lib/covr](https://github.com/r-lib/covr) - Test coverage reports for R
* [paws-r/paws](https://github.com/paws-r/paws) - Paws, a package for Amazon Web Services in R
* [jumpingrivers/datasauRus](https://github.com/jumpingrivers/datasauRus) - R Package 📦 Containing the Datasaurus Dozen datasets :bar_chart:
* [tidyverse/googledrive](https://github.com/tidyverse/googledrive) - Google Drive R API
* [bnosac/taskscheduleR](https://github.com/bnosac/taskscheduleR) - Schedule R scripts/processes with the Windows task scheduler.
* [benmarwick/wordcountaddin](https://github.com/benmarwick/wordcountaddin) - Word counts and readability statistics in R markdown documents
* [markvanderloo/stringdist](https://github.com/markvanderloo/stringdist) - String distance functions for R
* [EmilHvitfeldt/ggpage](https://github.com/EmilHvitfeldt/ggpage) - Creates Page Layout Visualizations in R 📄📄📄
* [tidymodels/rsample](https://github.com/tidymodels/rsample) - Classes and functions to create and summarize resampling objects
* [scRNA-tools/scRNA-tools](https://github.com/scRNA-tools/scRNA-tools) - Table of software for the analysis of single-cell RNA-seq data.
* [ropensci/osmdata](https://github.com/ropensci/osmdata) - R package for downloading OpenStreetMap data
* [richfitz/remake](https://github.com/richfitz/remake) - Make-like declarative workflows in R
* [r-dbi/RSQLite](https://github.com/r-dbi/RSQLite) - R interface for SQLite
* [immunomind/immunarch](https://github.com/immunomind/immunarch) - 🧬 immunarch [R package] – Multi-Modal Immune Repertoire Analytics for Immunotherapy and Vaccine Design
* [ropensci/software-review](https://github.com/ropensci/software-review) - rOpenSci Software Peer Review.
* [ropensci/rnoaa](https://github.com/ropensci/rnoaa) - R interface to many NOAA data APIs
* [r-dbi/RPostgres](https://github.com/r-dbi/RPostgres) - A DBI-compliant interface to PostgreSQL
* [clauswilke/colorblindr](https://github.com/clauswilke/colorblindr) - An R package to simulate colorblindness on R figures.
* [vincentarelbundock/tinytable](https://github.com/vincentarelbundock/tinytable) - Simple and Customizable Tables in `R`
* [TullyMonster/MendelRookie](https://github.com/TullyMonster/MendelRookie) - 新手友好的孟德尔随机化项目
* [datacarpentry/R-ecology-lesson](https://github.com/datacarpentry/R-ecology-lesson) - Data Analysis and Visualization in R for Ecologists
* [rstudio/pins-r](https://github.com/rstudio/pins-r) - Pin, discover, and share resources
* [constantAmateur/SoupX](https://github.com/constantAmateur/SoupX) - R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
* [r-lib/rex](https://github.com/r-lib/rex) - Friendly regular expressions for R.
* [r-lib/mirai](https://github.com/r-lib/mirai) - Minimalist Async Evaluation Framework for R
* [jrnold/r4ds-exercise-solutions](https://github.com/jrnold/r4ds-exercise-solutions) - Exercise solutions to "R for Data Science"
* [dmi3kno/polite](https://github.com/dmi3kno/polite) - Be nice on the web
* [abresler/nbastatR](https://github.com/abresler/nbastatR) - NBA Stats API Wrapper and more for R
* [xiaolei-lab/rMVP](https://github.com/xiaolei-lab/rMVP) - :postbox: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool For Genome-Wide Association Study
* [ModelOriented/modelStudio](https://github.com/ModelOriented/modelStudio) - 📍 Interactive Studio for Explanatory Model Analysis
* [microsoft/TagAnomaly](https://github.com/microsoft/TagAnomaly) - Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
* [eddelbuettel/littler](https://github.com/eddelbuettel/littler) - A scripting and command-line front-end for GNU R
* [wch/extrafont](https://github.com/wch/extrafont) - Tools for using fonts in R graphics
* [hughjonesd/huxtable](https://github.com/hughjonesd/huxtable) - An R package to create styled tables in multiple output formats, with a friendly, modern interface.
* [georgevbsantiago/qsacnpj](https://github.com/georgevbsantiago/qsacnpj) - Pacote que trata e organiza os dados do Cadastro Nacional da Pessoa Jurídica (CNPJ)
* [Appsilon/rhino](https://github.com/Appsilon/rhino) - Build high quality, enterprise-grade Shiny apps at speed
* [DOI-USGS/dataRetrieval](https://github.com/DOI-USGS/dataRetrieval) - This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
* [fastverse/fastverse](https://github.com/fastverse/fastverse) - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
* [jcrodriguez1989/chatgpt](https://github.com/jcrodriguez1989/chatgpt) - Interface to ChatGPT from R
* [r-lib/crayon](https://github.com/r-lib/crayon) - 🖍️ R package for colored terminal output — now superseded by cli
* [r-dbi/DBI](https://github.com/r-dbi/DBI) - A database interface (DBI) definition for communication between R and RDBMSs
* [r-lib/memoise](https://github.com/r-lib/memoise) - Easy memoisation for R
* [ropensci-archive/rplos](https://github.com/ropensci-archive/rplos) - :warning: ARCHIVED :warning: R client for the PLoS Journals API
* [wch/rgcookbook](https://github.com/wch/rgcookbook) - R Graphics Cookbook
* [JohnCoene/coronavirus](https://github.com/JohnCoene/coronavirus) - 🦠 Novel Coronavirus (COVID-19) Tracker
* [microbiome/microbiome](https://github.com/microbiome/microbiome) - microbiome R package
* [mitchelloharawild/icons](https://github.com/mitchelloharawild/icons) - R package to easily insert web icons to RMarkdown
* [FrankPortman/bayesAB](https://github.com/FrankPortman/bayesAB) - 🐢 bayesAB: Fast Bayesian Methods for A/B Testing
* [neuhausi/canvasXpress](https://github.com/neuhausi/canvasXpress) - CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.
* [bokeh/rbokeh](https://github.com/bokeh/rbokeh) - R interface to Bokeh http://hafen.github.io/rbokeh/
* [16EAGLE/getSpatialData](https://github.com/16EAGLE/getSpatialData) - An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
* [rfsaldanha/microdatasus](https://github.com/rfsaldanha/microdatasus) - Download de dados do DataSUS e pré-processamento no R.
* [hughjonesd/ggmagnify](https://github.com/hughjonesd/ggmagnify) - Create a magnified inset of part of a ggplot object
* [sjmgarnier/viridis](https://github.com/sjmgarnier/viridis) - Colorblind-Friendly Color Maps for R
* [pharmaverse/admiral](https://github.com/pharmaverse/admiral) - ADaM in R Asset Library
* [wilkox/ggfittext](https://github.com/wilkox/ggfittext) - 🔠 ggplot2 geoms to fit text into boxes
* [NickCH-K/causalgraphs](https://github.com/NickCH-K/causalgraphs) - R code for causal graph animations
* [mrkaye97/slackr](https://github.com/mrkaye97/slackr) - An R package for sending messages from R to Slack
* [rstudio-education/shiny.rstudio.com-tutorial](https://github.com/rstudio-education/shiny.rstudio.com-tutorial) - Slides and exercises for the video tutorial at https://shiny.rstudio.com/tutorial/
* [hudl/StatsBombR](https://github.com/hudl/StatsBombR) - This repository is an R package to easily stream StatsBomb data from the API using your log in credentials or from the Open Data GitHub repository cost free into R .
* [wviechtb/metafor](https://github.com/wviechtb/metafor) - A meta-analysis package for R
* [virtualstaticvoid/heroku-buildpack-r](https://github.com/virtualstaticvoid/heroku-buildpack-r) - Heroku buildpack for R - Makes deploying R on Heroku easy
* [samuel-marsh/scCustomize](https://github.com/samuel-marsh/scCustomize) - R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
* [mllg/checkmate](https://github.com/mllg/checkmate) - Fast and versatile argument checks
* [jennybc/gapminder](https://github.com/jennybc/gapminder) - Excerpt from the Gapminder data, as an R data package and in plain text delimited form
* [ropensci/charlatan](https://github.com/ropensci/charlatan) - Create fake data in R
* [r-lib/callr](https://github.com/r-lib/callr) - Call R from R
* [mkearney/rstudiothemes](https://github.com/mkearney/rstudiothemes) - A curated list of RStudio themes found on Github
* [tidymodels/stacks](https://github.com/tidymodels/stacks) - An R package for tidy stacked ensemble modeling
* [ropensci/taxize](https://github.com/ropensci/taxize) - A taxonomic toolbelt for R
* [Rapporter/pander](https://github.com/Rapporter/pander) - An R Pandoc Writer: Convert arbitrary R objects into markdown
* [saezlab/decoupleR](https://github.com/saezlab/decoupleR) - R package to infer biological activities from omics data using a collection of methods.
* [r-lib/waldo](https://github.com/r-lib/waldo) - Find differences between R objects
* [rstudio/fontawesome](https://github.com/rstudio/fontawesome) - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
* [kolaczyk/sand](https://github.com/kolaczyk/sand) - Statistical Analysis of Network Data with R, 2nd Edition
* [jessecambon/tidygeocoder](https://github.com/jessecambon/tidygeocoder) - Geocoding Made Easy
* [moldach/vapoRwave](https://github.com/moldach/vapoRwave) - 📼👾🕹Vaporwave themes and color palettes for ggplot2💾👨‍🎤📺
* [futureverse/progressr](https://github.com/futureverse/progressr) - 三 R package: An Inclusive, Unifying API for Progress Updates
* [bleutner/RStoolbox](https://github.com/bleutner/RStoolbox) - Remote Sensing Data Analysis in R 🛰
* [rexyai/RestRserve](https://github.com/rexyai/RestRserve) - R web API framework for building high-performance microservices and app backends
* [o2r-project/containerit](https://github.com/o2r-project/containerit) - Package an R workspace and all dependencies as a Docker container
* [GenomicSEM/GenomicSEM](https://github.com/GenomicSEM/GenomicSEM) - R-package for structural equation modeling based on GWAS summary data
* [ecpolley/SuperLearner](https://github.com/ecpolley/SuperLearner) - Current version of the SuperLearner R package
* [thomas-neitmann/ggcharts](https://github.com/thomas-neitmann/ggcharts) - Get You to Your Desired Plot Faster
* [kosukeimai/fastLink](https://github.com/kosukeimai/fastLink) - R package fastLink: Fast Probabilistic Record Linkage
* [Tazinho/Advanced-R-Solutions](https://github.com/Tazinho/Advanced-R-Solutions) - Set of solutions for the Advanced R programming book
* [IOBR/IOBR](https://github.com/IOBR/IOBR) - IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology. https://iobr.github.io/IOBR/
* [bergant/datamodelr](https://github.com/bergant/datamodelr) - Data model diagrams in R
* [Appsilon/shiny.fluent](https://github.com/Appsilon/shiny.fluent) - Microsoft's Fluent UI for Shiny apps
* [yihui/servr](https://github.com/yihui/servr) - A simple HTTP server in R
* [ajtulloch/Elements-of-Statistical-Learning](https://github.com/ajtulloch/Elements-of-Statistical-Learning) - Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
* [smartinsightsfromdata/rpivotTable](https://github.com/smartinsightsfromdata/rpivotTable) - A R wrapper for the great library pivottable
* [mengxu98/scop](https://github.com/mengxu98/scop) - An R package for single-cell and spatial omics analysis, integration, interpretation, and visualization.
* [r-spatial/leafgl](https://github.com/r-spatial/leafgl) - R package for fast web gl rendering for leaflet
* [r-rust/hellorust](https://github.com/r-rust/hellorust) - Template R package with rust bindings
* [ChiLiubio/microeco](https://github.com/ChiLiubio/microeco) - An R package for downstream data analysis of microbiome omics data
* [teunbrand/legendry](https://github.com/teunbrand/legendry) - A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings     various improvements to existing guides by re-implementation, as well as adding novel guides.
* [schochastics/graphlayouts](https://github.com/schochastics/graphlayouts) - new layout algorithms for network visualizations in R
* [nrennie/tidytuesday](https://github.com/nrennie/tidytuesday) - This repository contains the R, Python, D3, and Svelte code used to produce my visualisations for the #TidyTuesday challenges.
* [jakelawlor/PNWColors](https://github.com/jakelawlor/PNWColors) - A Pacific Northwest inspired R color palette package
* [bmschmidt/wordVectors](https://github.com/bmschmidt/wordVectors) - An R package for creating and exploring word2vec and other word embedding models
* [dirkschumacher/ompr](https://github.com/dirkschumacher/ompr) - R package to model Mixed Integer Linear Programs
* [talgalili/installr](https://github.com/talgalili/installr) - Functions for installing softwares from within R
* [Yang-Tang/shinyjqui](https://github.com/Yang-Tang/shinyjqui) - jQuery UI Interactions and Effects for Shiny
* [romantseg/rbooks](https://github.com/romantseg/rbooks) - A curated list of #rstats books
* [XSaintX/book-R-DataAnalysis](https://github.com/XSaintX/book-R-DataAnalysis) - This repository contains R code about analysing data from the book Analisis de datos con R
* [VerbalExpressions/RVerbalExpressions](https://github.com/VerbalExpressions/RVerbalExpressions) - :speech_balloon: Create regular expressions easily
* [R-CoderDotCom/calendR](https://github.com/R-CoderDotCom/calendR) - Ready to print calendars with ggplot2
* [cjbarrie/academictwitteR](https://github.com/cjbarrie/academictwitteR) - Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.
* [lorenzwalthert/precommit](https://github.com/lorenzwalthert/precommit) - pre-commit hooks for R projects
* [cailab-tamu/scTenifoldKnk](https://github.com/cailab-tamu/scTenifoldKnk) -  R/MATLAB package to perform virtual knockout experiments on single-cell gene regulatory networks.
* [r-lib/zeallot](https://github.com/r-lib/zeallot) - Variable assignment with zeal! (or multiple, unpacking, and destructuring assignment in R)
* [OpenDroneMap/FIELDimageR](https://github.com/OpenDroneMap/FIELDimageR) - FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.
* [ropensci-archive/fulltext](https://github.com/ropensci-archive/fulltext) - :warning: ARCHIVED :warning: Search across and get full text for OA & closed journals
* [RamiKrispin/vscode-r](https://github.com/RamiKrispin/vscode-r) - A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker
* [knausb/vcfR](https://github.com/knausb/vcfR) - Tools to work with variant call format files
* [ropensci/iheatmapr](https://github.com/ropensci/iheatmapr) - Complex, interactive heatmaps in R
* [khanhnamle1994/statistical-learning](https://github.com/khanhnamle1994/statistical-learning) - Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
* [exaexa/scattermore](https://github.com/exaexa/scattermore) - very fast scatterplots for R
* [chasemc/electricShine](https://github.com/chasemc/electricShine) - Create Standalone Installable Shiny Apps
* [satijalab/sctransform](https://github.com/satijalab/sctransform) - R package for modeling single cell UMI expression data using regularized negative binomial regression
* [ropensci/rnaturalearth](https://github.com/ropensci/rnaturalearth) - An R package to hold and facilitate interaction with natural earth map data :earth_africa:
* [Appsilon/shiny.router](https://github.com/Appsilon/shiny.router) - A minimalistic router for your Shiny apps.
* [r-lib/httr2](https://github.com/r-lib/httr2) - Make HTTP requests and process their responses. A modern reimagining of httr.
* [RGLab/MAST](https://github.com/RGLab/MAST) - Tools and methods for analysis of single cell assay data in R
* [leeper/margins](https://github.com/leeper/margins) - An R Port of Stata's 'margins' Command
* [asardaes/dtwclust](https://github.com/asardaes/dtwclust) - R Package for Time Series Clustering Along with Optimizations for DTW
* [yihui/litedown](https://github.com/yihui/litedown) - A lightweight version of R Markdown (without using Pandoc or knitr)
* [tidymodels/tidypredict](https://github.com/tidymodels/tidypredict) - Run predictions inside the database
* [stephenslab/susieR](https://github.com/stephenslab/susieR) - R package for "sum of single effects" regression.
* [insightsengineering/teal](https://github.com/insightsengineering/teal) - Exploratory Web Apps for Analyzing Clinical Trial Data
* [rstudio/config](https://github.com/rstudio/config) - config package for R
* [hafen/trelliscopejs](https://github.com/hafen/trelliscopejs) - TrelliscopeJS R Package
* [Raymo111/Raymo111](https://github.com/Raymo111/Raymo111) - My awesome profile README
* [yihui/formatR](https://github.com/yihui/formatR) - Format R Code Automatically
* [robjhyndman/tsfeatures](https://github.com/robjhyndman/tsfeatures) - Time series features
* [microsoft/finnts](https://github.com/microsoft/finnts) - Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
* [erocoar/gghalves](https://github.com/erocoar/gghalves) - ✂️ Easy half-half geoms in ggplot2
* [easystats/modelbased](https://github.com/easystats/modelbased) - :chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
* [r-spatialecology/landscapemetrics](https://github.com/r-spatialecology/landscapemetrics) - Landscape Metrics for Categorical Map Patterns 🗺️ in R
* [dokato/todor](https://github.com/dokato/todor) - TODOr - RStudio add-in for finding TODO, FIXME, CHANGED etc. comments in your code.
* [tmobile/r-tensorflow-api](https://github.com/tmobile/r-tensorflow-api) - A small Docker container for using R and TensorFlow as an enterprise API
* [extendr/rextendr](https://github.com/extendr/rextendr) - An R package that helps scaffolding extendr-enabled packages or compiling Rust code dynamically
* [AppliedDataSciencePartners/xgboostExplainer](https://github.com/AppliedDataSciencePartners/xgboostExplainer) - An R package that makes xgboost models fully interpretable
* [al2na/methylKit](https://github.com/al2na/methylKit) - R package for DNA methylation analysis
* [trinker/textclean](https://github.com/trinker/textclean) - Tools for cleaning and normalizing text data
* [mixOmicsTeam/mixOmics](https://github.com/mixOmicsTeam/mixOmics) - Development repository for the Bioconductor package 'mixOmics '
* [karthik/holepunch](https://github.com/karthik/holepunch) - Make your R project Binder ready
* [jackwasey/icd](https://github.com/jackwasey/icd) - *New maintainer/owner needed* Fast ICD-10 and ICD-9 comorbidities, decoding and validation in R. NB use main instead of master for default branch.
* [eddelbuettel/gsir-te](https://github.com/eddelbuettel/gsir-te) - Getting Started in R -- Tinyverse Edition
* [vnijs/radiant](https://github.com/vnijs/radiant) - Business analytics using R and Shiny
* [pzhaonet/bookdownplus](https://github.com/pzhaonet/bookdownplus) - The easiest way to use R package bookdown for  writing varied types of books and documents
* [HealthCatalyst/healthcareai-r](https://github.com/HealthCatalyst/healthcareai-r) - R tools for healthcare machine learning
* [trinker/wakefield](https://github.com/trinker/wakefield) - Generate random data sets
* [pharmaverse/rtables](https://github.com/pharmaverse/rtables) - Reporting tables with R
* [geoffjentry/twitteR](https://github.com/geoffjentry/twitteR) - R based twitter client
* [Appsilon/semantic.dashboard](https://github.com/Appsilon/semantic.dashboard) - Quick, beautiful and customizable dashboard template for Shiny based on shiny.semantic and Fomantic UI.
* [rstudio/pool](https://github.com/rstudio/pool) - Object Pooling in R
* [r-lib/bench](https://github.com/r-lib/bench) - High Precision Timing of R Expressions
* [riatelab/osrm](https://github.com/riatelab/osrm) - Interface between R and the OpenStreetMap-based routing service OSRM
* [rOpenGov/eurostat](https://github.com/rOpenGov/eurostat) - R tools for Eurostat data
* [alastairrushworth/inspectdf](https://github.com/alastairrushworth/inspectdf) - 🛠️ 📊 Tools for Exploring and Comparing Data Frames
* [sowla/useR2019-materials](https://github.com/sowla/useR2019-materials) - Links to materials from tutorials and talks from useR 2019
* [r-lib/conflicted](https://github.com/r-lib/conflicted) - An alternative conflict resolution strategy for R
* [quanteda/spacyr](https://github.com/quanteda/spacyr) - R wrapper to spaCy NLP
* [OpenIntroStat/openintro](https://github.com/OpenIntroStat/openintro) - 📦 R package for data and supplemental functions for OpenIntro resources
* [karthik/rdrop2](https://github.com/karthik/rdrop2) - Dropbox Interface from R
* [cwickham/purrr-tutorial](https://github.com/cwickham/purrr-tutorial) - A introduction to purrr
* [sdmTMB/sdmTMB](https://github.com/sdmTMB/sdmTMB) - An R package for spatial and spatiotemporal GLMMs with TMB
* [jonocarroll/mathpix](https://github.com/jonocarroll/mathpix) - Query the mathpix API to convert math images to LaTeX
* [jennybc/ggplot2-tutorial](https://github.com/jennybc/ggplot2-tutorial) - Teaching materials for the R package ggplot2
* [ggrothendieck/sqldf](https://github.com/ggrothendieck/sqldf) - Perform SQL Selects on R Data Frames
* [covid19datahub/COVID19](https://github.com/covid19datahub/COVID19) - A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution
* [bergant/finstr](https://github.com/bergant/finstr) - :chart_with_upwards_trend: Financial statements in R
* [ropensci/tesseract](https://github.com/ropensci/tesseract) - Bindings to Tesseract OCR engine for R
* [rich-iannone/stationaRy](https://github.com/rich-iannone/stationaRy) - Get hourly meteorological data from one of thousands of global stations
* [jsta/r-docker-tutorial](https://github.com/jsta/r-docker-tutorial) - A docker tutorial for reproducible research
* [GoekeLab/bambu](https://github.com/GoekeLab/bambu) - Reference-guided transcript discovery and quantification for long read RNA-Seq data
* [cdeterman/gpuR](https://github.com/cdeterman/gpuR) - R interface to use GPU's
* [AdrianAntico/AutoQuant](https://github.com/AdrianAntico/AutoQuant) - Automation framework for machine learning, forecasting, model evaluation, and interpretation.
* [vincentarelbundock/WDI](https://github.com/vincentarelbundock/WDI) - R package to download World Bank data
* [loukesio/ltc-color-palettes](https://github.com/loukesio/ltc-color-palettes) - "ltc_palettes: Tailored for data visualization enthusiasts, ltc_palettes is an R package that offers a curated collection of color palettes. Crafted to enhance clarity and impact, these palettes ensure that your visual representations not only communicate data effectively but also aesthetically
* [r-lib/processx](https://github.com/r-lib/processx) - Execute and Control Subprocesses from R
* [noriakis/ggkegg](https://github.com/noriakis/ggkegg) - Analyzing and visualizing KEGG information using the grammar of graphics
* [toddwschneider/shiny-salesman](https://github.com/toddwschneider/shiny-salesman) - Traveling salesman with simulated annealing, R, and Shiny
* [ropensci-archive/elastic](https://github.com/ropensci-archive/elastic) - R client for the Elasticsearch HTTP API
* [r-lib/asciicast](https://github.com/r-lib/asciicast) - Turn R scripts into terminal screencasts
* [daattali/shinyalert](https://github.com/daattali/shinyalert) - 🗯️ Easily create pretty popup messages (modals) in Shiny
* [riatelab/mapsf](https://github.com/riatelab/mapsf) - Thematic cartography with R
* [hadley/strict](https://github.com/hadley/strict) - Make R a little bit stricter
* [Chicago/RSocrata](https://github.com/Chicago/RSocrata) - Provides easier interaction with Socrata open data portals http://dev.socrata.com. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SoDA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format. Manages throttling by 'Socrata'.
* [ben519/DataWrangling](https://github.com/ben519/DataWrangling) - The ultimate reference guide to data wrangling with Python and R
* [rolkra/explore](https://github.com/rolkra/explore) - R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
* [markvanderloo/tinytest](https://github.com/markvanderloo/tinytest) - A lightweight, no-dependency, but full-featured package for unit testing in R
* [ankane/jetpack](https://github.com/ankane/jetpack) - A friendly package manager for R
* [ycphs/openxlsx](https://github.com/ycphs/openxlsx) - openxlsx - a fast way to read and write complex xslx files
* [ModelOriented/randomForestExplainer](https://github.com/ModelOriented/randomForestExplainer) - A set of tools to understand what is happening inside a Random Forest
* [Pakillo/grateful](https://github.com/Pakillo/grateful) - Facilitate citation of R packages
* [rlbarter/superheat](https://github.com/rlbarter/superheat) - An r package for generating beautiful and customizable heatmaps
* [laresbernardo/lares](https://github.com/laresbernardo/lares) - Analytics & Machine Learning R Sidekick
* [nicolewhite/RNeo4j](https://github.com/nicolewhite/RNeo4j) - Neo4j Driver for R.
* [davidgohel/ReporteRs](https://github.com/davidgohel/ReporteRs) - Note that ReporteRs has been removed from CRAN the 16th of July 2018 and is not maintained anymore. please migrate to officer.
* [rstudio/Intro](https://github.com/rstudio/Intro) - Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
* [r-lib/gmailr](https://github.com/r-lib/gmailr) - Access the Gmail RESTful API from R.
* [PecanProject/pecan](https://github.com/PecanProject/pecan) - The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
* [jennybc/code-smells-and-feels](https://github.com/jennybc/code-smells-and-feels) - Talk on code smells and feels and how to change that via refactoring
* [adamribaudo/storytelling-with-data-ggplot](https://github.com/adamribaudo/storytelling-with-data-ggplot) - Recreation of Cole Nussbaumer Knaflic's Storytelling with Data plots using R an ggplot2
* [talgalili/d3heatmap](https://github.com/talgalili/d3heatmap) - A D3.js-based heatmap htmlwidget for R
* [kosukeimai/MatchIt](https://github.com/kosukeimai/MatchIt) - R package MatchIt
* [dgrapov/TeachingDemos](https://github.com/dgrapov/TeachingDemos) - Bioinformatics related demos and tutorials using the R programming language
* [dataspelunking/MLwR](https://github.com/dataspelunking/MLwR) - Machine Learning with R
* [ambiorix-web/ambiorix](https://github.com/ambiorix-web/ambiorix) - 🖥️ Web framework for R
* [r-simmer/simmer](https://github.com/r-simmer/simmer) - Discrete-Event Simulation for R
* [kaz-yos/tableone](https://github.com/kaz-yos/tableone) - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
* [echen/ggplot2-tutorial](https://github.com/echen/ggplot2-tutorial) - Quick introduction to ggplot2 (no knowledge of R assumed)
* [brodieG/diffobj](https://github.com/brodieG/diffobj) - Compare R Objects with a Diff
* [jamesotto852/ggdensity](https://github.com/jamesotto852/ggdensity) - An R package for interpretable visualizations of bivariate density estimates
* [gavinsimpson/gratia](https://github.com/gavinsimpson/gratia) - ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
* [trinker/topicmodels_learning](https://github.com/trinker/topicmodels_learning) - A repository of learning & R resources related to topic models
* [r-lib/gh](https://github.com/r-lib/gh) - Minimalistic GitHub API client in R
* [philchalmers/mirt](https://github.com/philchalmers/mirt) - Multidimensional item response theory
* [pewresearch/pewmethods](https://github.com/pewresearch/pewmethods) - Pew Research Center Methods team R package of miscellaneous functions
* [gaborcsardi/prompt](https://github.com/gaborcsardi/prompt) - Dynamic R prompt
* [trevorstephens/titanic](https://github.com/trevorstephens/titanic) - Getting Started With R
* [tidyverse/design](https://github.com/tidyverse/design) - Tidyverse design principles
* [rticulate/import](https://github.com/rticulate/import) - An Import Mechanism For R
* [Pakillo/R-GIS-tutorial](https://github.com/Pakillo/R-GIS-tutorial) - Spatial data in R: using R as a GIS
* [bbolker/broom.mixed](https://github.com/bbolker/broom.mixed) - tidy methods for mixed models in R
* [sneumann/xcms](https://github.com/sneumann/xcms) - This is the git repository matching the Bioconductor package xcms: LC/MS and GC/MS Data Analysis
* [omarwagih/ggseqlogo](https://github.com/omarwagih/ggseqlogo) - Publication-quality sequence logos in R
* [JustinMShea/wooldridge](https://github.com/JustinMShea/wooldridge) - The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.
* [junjunlab/GseaVis](https://github.com/junjunlab/GseaVis) - An implement R package to visualize GSEA results
* [iSEE/iSEE](https://github.com/iSEE/iSEE) - R/shiny interface for interactive visualization of data in SummarizedExperiment objects
* [ropensci/qualtRics](https://github.com/ropensci/qualtRics) - Download ⬇️ Qualtrics survey data directly into R!
* [kharchenkolab/conos](https://github.com/kharchenkolab/conos) - R package for the joint analysis of multiple single-cell RNA-seq datasets
* [lbenz730/ncaahoopR](https://github.com/lbenz730/ncaahoopR) - An R package for working with NCAA Basketball Play-by-Play Data
* [katiejolly/nationalparkcolors](https://github.com/katiejolly/nationalparkcolors) - R package for color themes inspired by national parks
* [mayoverse/arsenal](https://github.com/mayoverse/arsenal) - An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
* [griffithlab/GenVisR](https://github.com/griffithlab/GenVisR) - Genome data visualizations
* [enblacar/SCpubr](https://github.com/enblacar/SCpubr) - Generate high quality, publication ready visualizations for single cell transcriptomics data.
* [edwindj/whisker](https://github.com/edwindj/whisker) - {{mustache}} for R
* [USEPA/elevatr](https://github.com/USEPA/elevatr) - An R package for accessing elevation data
* [ropensci/biomartr](https://github.com/ropensci/biomartr) - Genomic Data Retrieval with R
* [lionel-/codegrip](https://github.com/lionel-/codegrip) - Reshaping and navigation commands for R code
* [joshuaulrich/xts](https://github.com/joshuaulrich/xts) - Extensible time series class that provides uniform handling of many R time series classes by extending zoo.
* [Hy4m/linkET](https://github.com/Hy4m/linkET) - Everything is Linkable
* [cbail/textnets](https://github.com/cbail/textnets) - R package to perform automated text analysis using network techniques
* [trafficonese/leaflet.extras](https://github.com/trafficonese/leaflet.extras) - Extra functionality for leaflet R package.
* [thebioengineer/camcorder](https://github.com/thebioengineer/camcorder) - Record plots generated during an R session and replay as a gif!
* [r-lib/xml2](https://github.com/r-lib/xml2) - Bindings to libxml2
* [privefl/bigsnpr](https://github.com/privefl/bigsnpr) - R package for the analysis of massive SNP arrays.
* [microsoft/microsoft-r-open](https://github.com/microsoft/microsoft-r-open) - Microsoft R Open Source
* [gergness/srvyr](https://github.com/gergness/srvyr) - R package to add 'dplyr'-like Syntax for Summary Statistics of Survey Data
* [wilkox/treemapify](https://github.com/wilkox/treemapify) - 🌳 Draw treemaps in ggplot2
* [r-spatial/qgisprocess](https://github.com/r-spatial/qgisprocess) - R package to use QGIS processing algorithms
* [ropensci/git2r](https://github.com/ropensci/git2r) - R bindings to the libgit2 library
* [computationalstylistics/stylo](https://github.com/computationalstylistics/stylo) - R package for stylometric analyses
* [r-spatial/mapedit](https://github.com/r-spatial/mapedit) - Interactive editing of spatial data in R
* [jthomasmock/gtExtras](https://github.com/jthomasmock/gtExtras) - A Collection of Helper Functions for the gt Package.
* [emitanaka/edibble](https://github.com/emitanaka/edibble) - An R-package that encapsulate elements of experimental design for better planning, management, and workflow
* [emanuelhuber/RGPR](https://github.com/emanuelhuber/RGPR) - Ground-penetrating radar (GPR) data processing and visualisation: a free and open-source software package (R language)
* [duckdb/duckdb-r](https://github.com/duckdb/duckdb-r) - The duckdb R package
* [koenderks/rcityviews](https://github.com/koenderks/rcityviews) - rcityviews is a user-friendly R interface for creating stylized city maps using OpenStreetMap (www.openstreetmap.org) data, implemented as an R package and a Shiny web application.
* [hadley/r4ds](https://github.com/hadley/r4ds) - R for data science: a book
* [ipeaGIT/geobr](https://github.com/ipeaGIT/geobr) - Easy access to official spatial data sets of Brazil in R and Python
* [UMGCCCFCSR/CytometryInR](https://github.com/UMGCCCFCSR/CytometryInR) - Course Website
* [statsbomb/StatsBombR](https://github.com/statsbomb/StatsBombR) - This repository is an R package to easily stream StatsBomb data from the API using your log in credentials or from the Open Data GitHub repository cost free into R .
* [insightsengineering/rtables](https://github.com/insightsengineering/rtables) - Reporting tables with R
* [zatonovo/lambda.r](https://github.com/zatonovo/lambda.r) - Functional programming in R
* [OHDSI/PatientLevelPrediction](https://github.com/OHDSI/PatientLevelPrediction) - An R package for performing patient level prediction  in an observational database in the OMOP Common Data Model.
* [MatsuuraKentaro/RStanBook](https://github.com/MatsuuraKentaro/RStanBook) - 『StanとRでベイズ統計モデリング』のサポートページです.
* [jimhester/lookup](https://github.com/jimhester/lookup) - Lookup R full function definitions, including compiled code, S3 and S4 methods.
* [ACCLAB/dabestr](https://github.com/ACCLAB/dabestr) - Data Analysis with Bootstrap Estimation in R
* [ropensci/rentrez](https://github.com/ropensci/rentrez) - talk with NCBI entrez using R
* [r-for-educators/flair](https://github.com/r-for-educators/flair) - decorate your R code
* [mhahsler/recommenderlab](https://github.com/mhahsler/recommenderlab) - recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
* [maxtoki/baseball_R](https://github.com/maxtoki/baseball_R) - Companion to Analyzing Baseball Data with R
* [futureverse/future.apply](https://github.com/futureverse/future.apply) - :rocket: R package: future.apply -  Apply Function to Elements in Parallel using Futures
* [dieghernan/tidyterra](https://github.com/dieghernan/tidyterra) - tidyverse and ggplot2 methods for terra spatial objects
* [cvxgrp/CVXR](https://github.com/cvxgrp/CVXR) - An R modeling language for convex optimization problems.
* [youngwoos/Doit_R](https://github.com/youngwoos/Doit_R) - <Do it! 쉽게 배우는 R 데이터 분석> 저장소
* [gadenbuie/epoxy](https://github.com/gadenbuie/epoxy) - Extra-strength glue engines for R Markdown, Quarto, and Shiny
* [KlausVigo/phangorn](https://github.com/KlausVigo/phangorn) - Phylogenetic analysis in R
* [docopt/docopt.R](https://github.com/docopt/docopt.R) - Command-line interface description language for R (http://docopt.org)
* [jotech/gapseq](https://github.com/jotech/gapseq) - Informed prediction and analysis of bacterial metabolic pathways and genome-scale networks
* [HenrikBengtsson/matrixStats](https://github.com/HenrikBengtsson/matrixStats) - R package: Methods that Apply to Rows and Columns of Matrices (and to Vectors)
* [ateucher/rmapshaper](https://github.com/ateucher/rmapshaper) - An R wrapper for the mapshaper javascript library
* [hadley/reshape](https://github.com/hadley/reshape) - An R package to flexible rearrange, reshape and aggregate data
* [gluc/data.tree](https://github.com/gluc/data.tree) - General Purpose Hierarchical Data Structure for R
* [kcuilla/reactablefmtr](https://github.com/kcuilla/reactablefmtr) - Streamlined Table Styling and Formatting for Reactable
* [hadley/assertthat](https://github.com/hadley/assertthat) - User friendly assertions for R
* [datacamp/RDocumentation](https://github.com/datacamp/RDocumentation) - R package to integrate rdocumentation.org into your R workflow
* [will-r-chase/aRt](https://github.com/will-r-chase/aRt) - Generative or data-driven artwork made with R
* [flujoo/gm](https://github.com/flujoo/gm) - R Package for Music Creation
* [BlakeRMills/MoMAColors](https://github.com/BlakeRMills/MoMAColors) - Color Schemes based around artwork and the Museum of Modern Art.
* [gkaramanis/aRtist](https://github.com/gkaramanis/aRtist) - Making art with R
* [yonicd/carbonate](https://github.com/yonicd/carbonate) - carbon.js for R
* [theislab/zellkonverter](https://github.com/theislab/zellkonverter) - Conversion between scRNA-seq objects
* [rstudio/promises](https://github.com/rstudio/promises) - A promise library for R
* [yihui/animation](https://github.com/yihui/animation) - A gallery of animations in statistics and utilities to create animations
* [GuangchuangYu/badger](https://github.com/GuangchuangYu/badger) - Badge for R Package
* [johannesbjork/LaCroixColoR](https://github.com/johannesbjork/LaCroixColoR) - LaCroix Color Palettes for R.
* [spatstat/spatstat](https://github.com/spatstat/spatstat) - Umbrella package of the 'spatstat' family................
* [nsgrantham/ggdark](https://github.com/nsgrantham/ggdark) - Dark mode for ggplot2 themes
* [SSSYDYSSS/TransProR](https://github.com/SSSYDYSSS/TransProR) - Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
* [skranz/RTutor](https://github.com/skranz/RTutor) - Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)
* [dirkschumacher/llr](https://github.com/dirkschumacher/llr) - Lisp-like-R: A clojure inspired lisp that compiles to R in R
* [SingleR-inc/SingleR](https://github.com/SingleR-inc/SingleR) - Clone of the Bioconductor repository for the SingleR package.
* [sctyner/memer](https://github.com/sctyner/memer) - A tidyverse compatible package for creating memes in R using the magick package.
* [renkun-ken/rlist](https://github.com/renkun-ken/rlist) - A Toolbox for Non-Tabular Data Manipulation
* [ropensci/piggyback](https://github.com/ropensci/piggyback) - :package: for using large(r) data files on GitHub
* [jennybc/send-email-with-r](https://github.com/jennybc/send-email-with-r) - How to send a bunch of email from R
* [hadley/pryr](https://github.com/hadley/pryr) - Pry open the covers of R
* [mkearney/resist_oped](https://github.com/mkearney/resist_oped) - 🕵🏽‍♀️ Identifying the author behind New York Time’s op-ed from inside the Trump White House.
* [mikejohnson51/climateR](https://github.com/mikejohnson51/climateR) - An R 📦   for getting point and gridded climate data by AOI
* [hgeorgako/rfortraders](https://github.com/hgeorgako/rfortraders) - Quantitative Trading with R
* [egeulgen/pathfindR](https://github.com/egeulgen/pathfindR) - pathfindR: Enrichment Analysis Utilizing Active Subnetworks
* [thibautjombart/adegenet](https://github.com/thibautjombart/adegenet) - adegenet: a R package for the multivariate analysis of genetic markers
* [ropensci/textreuse](https://github.com/ropensci/textreuse) - Detect text reuse and document similarity
* [davidhodge931/ggblanket](https://github.com/davidhodge931/ggblanket) - Publication-Quality 'ggplot2' Visualisation
* [chr1swallace/coloc](https://github.com/chr1swallace/coloc) - Repo for the R package coloc
* [yiluheihei/microbiomeMarker](https://github.com/yiluheihei/microbiomeMarker) - R package for microbiome biomarker discovery
* [tomwenseleers/export](https://github.com/tomwenseleers/export) - R package for streamlined export of graphs and data tables.
* [Laurae2/Laurae](https://github.com/Laurae2/Laurae) - Advanced High Performance Data Science Toolbox for R by Laurae
* [csdaw/ggprism](https://github.com/csdaw/ggprism) - ggplot2 extension inspired by GraphPad Prism
* [stan-dev/shinystan](https://github.com/stan-dev/shinystan) - shinystan R package and ShinyStan GUI
* [rstudio/vetiver-r](https://github.com/rstudio/vetiver-r) - Version, share, deploy, and monitor models
* [cafferychen777/ggpicrust2](https://github.com/cafferychen777/ggpicrust2) - Make Picrust2 Output Analysis and Visualization Easier
* [r-quantities/units](https://github.com/r-quantities/units) - Measurement units for R
* [ropensci-archive/opendata](https://github.com/ropensci-archive/opendata) - :no_entry: ARCHIVED :no_entry:
* [DUanalytics/rAnalytics](https://github.com/DUanalytics/rAnalytics) - Analytics in R
* [m-clark/Miscellaneous-R-Code](https://github.com/m-clark/Miscellaneous-R-Code) - Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
* [Lchiffon/leafletCN](https://github.com/Lchiffon/leafletCN) - An R gallery for China and other geojson choropleth map in leaflet
* [juba/explor](https://github.com/juba/explor) - Interfaces for Multivariate Analysis in R
* [harrelfe/rms](https://github.com/harrelfe/rms) - Regression Modeling Strategies
* [briatte/ggnet](https://github.com/briatte/ggnet) - Network visualization with ggplot2
* [velocyto-team/velocyto.R](https://github.com/velocyto-team/velocyto.R) - RNA velocity estimation in R
* [cwatson/brainGraph](https://github.com/cwatson/brainGraph) - Graph theory analysis of brain MRI data
* [YuLab-SMU/MicrobiotaProcess](https://github.com/YuLab-SMU/MicrobiotaProcess) - :microbe: A comprehensive R package for deep mining microbiome
* [rspatial/geodata](https://github.com/rspatial/geodata) - download geographic data
* [mhahsler/arules](https://github.com/mhahsler/arules) - Mining Association Rules and Frequent Itemsets with R
* [JanMarvin/openxlsx2](https://github.com/JanMarvin/openxlsx2) - openxlsx2 - read, write and modify xlsx files
* [koenderks/aRtsy](https://github.com/koenderks/aRtsy) - aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.
* [stefano-meschiari/latex2exp](https://github.com/stefano-meschiari/latex2exp) - Use LaTeX in R graphics.
* [seananderson/glmm-course](https://github.com/seananderson/glmm-course) - Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R
* [merlinoa/shinyFeedback](https://github.com/merlinoa/shinyFeedback) - display user feedback next to Shiny inputs
* [Twitter-Sentiment-Analysis/R](https://github.com/Twitter-Sentiment-Analysis/R) - Sentiment analysis and visualization of real-time tweets using R
* [datawookie/emayili](https://github.com/datawookie/emayili) - An R package for sending email messages.
* [cynkra/fledge](https://github.com/cynkra/fledge) - Wings for your R packages: Streamline the process of versioning R packages and updating NEWS
* [colearendt/tidyjson](https://github.com/colearendt/tidyjson) - Tidy your JSON data in R with tidyjson
* [psychbruce/bruceR](https://github.com/psychbruce/bruceR) - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
* [lmullen/gender](https://github.com/lmullen/gender) - Predict Gender from Names Using Historical Data
* [GreenleafLab/chromVAR](https://github.com/GreenleafLab/chromVAR) - chromatin Variability Across Regions (of the genome!)
* [decryptr/decryptr](https://github.com/decryptr/decryptr) - An extensible API for breaking captchas
* [strengejacke/sjstats](https://github.com/strengejacke/sjstats) - Effect size measures and significance tests
* [ropensci/osmextract](https://github.com/ropensci/osmextract) - Download and import OpenStreetMap data from Geofabrik and other providers
* [jennybc/r-graph-catalog](https://github.com/jennybc/r-graph-catalog) - All graphs in “Creating More Effective Graphs”, made with R package ggplot2.
* [gojiplus/tuber](https://github.com/gojiplus/tuber) - :sweet_potato: Access YouTube from R
* [scverse/anndataR](https://github.com/scverse/anndataR) - AnnData interoperability in R
* [MicheleNuijten/statcheck](https://github.com/MicheleNuijten/statcheck) - A spellchecker for statistics
* [leeper/slopegraph](https://github.com/leeper/slopegraph) - Edward Tufte-Inspired Slopegraphs
* [JohnCoene/cicerone](https://github.com/JohnCoene/cicerone) - 🏛️ Give tours of your Shiny apps
* [gtatters/Thermimage](https://github.com/gtatters/Thermimage) - R Package for working with radiometric thermal image files and data
* [ankane/dbx](https://github.com/ankane/dbx) - A fast, easy-to-use database library for R
* [ropensci/tokenizers](https://github.com/ropensci/tokenizers) - Fast, Consistent Tokenization of Natural Language Text
* [openpharma/visR](https://github.com/openpharma/visR) - A package to wrap functionality for plots, tables and diagrams adhering to graphical principles.
* [nacnudus/unpivotr](https://github.com/nacnudus/unpivotr) - Unpivot complex and irregular data layouts in R
* [mplatzer/BTYDplus](https://github.com/mplatzer/BTYDplus) - R package for Customer Behavior Analysis
* [AliciaSchep/gglabeller](https://github.com/AliciaSchep/gglabeller) - Shiny gadget for labeling points on ggplot
* [timelyportfolio/listviewer](https://github.com/timelyportfolio/listviewer) - R htmlwidget to view lists
* [rpremraj/mailR](https://github.com/rpremraj/mailR) - A utility to send emails from the R programming environment
* [RamiKrispin/shinylive-r](https://github.com/RamiKrispin/shinylive-r) - A guide for deploying Shinylive R application into Github Pages
* [PoisonAlien/trackplot](https://github.com/PoisonAlien/trackplot) - Generate IGV style locus tracks from bigWig files in R
* [mlr-org/mlrMBO](https://github.com/mlr-org/mlrMBO) - Toolbox for Bayesian Optimization and Model-Based Optimization in R
* [ThinkR-open/dockerfiler](https://github.com/ThinkR-open/dockerfiler) - Easy Dockerfile Creation from R
* [sachit27/greenR](https://github.com/sachit27/greenR) - greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is implemented as both an R package and a Shiny web application for user-friendly interaction.
* [r-spatial/RQGIS](https://github.com/r-spatial/RQGIS) - RQGIS - integrating R with QGIS
* [FantasyFootballAnalytics/ffanalytics](https://github.com/FantasyFootballAnalytics/ffanalytics) - ffanalytics R package
* [abresler/fundManageR](https://github.com/abresler/fundManageR) - An Investment Management toolkit for R.  Because Excel is a threat to the global financial system.
* [skardhamar/rga](https://github.com/skardhamar/rga) - R Google Analytics
* [ropensci/webchem](https://github.com/ropensci/webchem) - Chemical Information from the Web
* [GraphicsPrinciples/CheatSheet](https://github.com/GraphicsPrinciples/CheatSheet) - Repository for the cheatsheet and R code for generating the examples displayed.
* [CausalInference/gfoRmula](https://github.com/CausalInference/gfoRmula) - The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
* [jkaupp/tidytuesdays](https://github.com/jkaupp/tidytuesdays) - Entries for tidytuesday
* [lcpmgh/colors](https://github.com/lcpmgh/colors) - 学术期刊配色推荐器
* [hms-dbmi/UpSetR](https://github.com/hms-dbmi/UpSetR) - An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
* [vincentarelbundock/marginaleffects](https://github.com/vincentarelbundock/marginaleffects) - R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
* [DillonHammill/DataEditR](https://github.com/DillonHammill/DataEditR) - An Interactive R Package for Viewing, Entering Filtering and Editing Data
* [charlie86/spotifyr](https://github.com/charlie86/spotifyr) - R wrapper for Spotify's Web API
* [r-lib/lobstr](https://github.com/r-lib/lobstr) - Understanding complex R objects with tools similar to str()
* [dupadhyaya/rAnalyticsHHE](https://github.com/dupadhyaya/rAnalyticsHHE) - Repository for Online Classes
* [mlr-org/batchtools](https://github.com/mlr-org/batchtools) - Tools for computation on batch systems
* [davidski/evaluator](https://github.com/davidski/evaluator) - ⚖Open Source Toolkit for Quantitative Risk Assessment
* [rstudio-conf-2022/ggplot2-graphic-design](https://github.com/rstudio-conf-2022/ggplot2-graphic-design) - "Graphic Design with ggplot2", a 2-day rstudio::conf(2022) Workshop by Cédric Scherer
* [r-lib/pillar](https://github.com/r-lib/pillar) - Format columns with colour
* [kbroman/broman](https://github.com/kbroman/broman) - R/broman: A package with Karl Broman's personal R code
* [r-lib/coro](https://github.com/r-lib/coro) - Coroutines for R
* [privefl/bigstatsr](https://github.com/privefl/bigstatsr) - R package for statistical tools with big matrices stored on disk.
* [Pakillo/template](https://github.com/Pakillo/template) - A template for data analysis projects structured as R packages (or not)
* [hrecht/censusapi](https://github.com/hrecht/censusapi) - R package to retrieve U.S. Census data and metadata via API
* [opengeos/whiteboxR](https://github.com/opengeos/whiteboxR) - WhiteboxTools R Frontend
* [dselivanov/rsparse](https://github.com/dselivanov/rsparse) - Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
* [byaxb/RDataAnalytics](https://github.com/byaxb/RDataAnalytics) - Data Analytics with R, instructed by Xinbo Ai, at Beijing University of Posts and Telecommunications
* [MarkEdmondson1234/googleAuthR](https://github.com/MarkEdmondson1234/googleAuthR) - Google API Client Library for R. Easy authentication and help to build Google API R libraries with OAuth2. Shiny compatible.
* [ttvand/Santander-Product-Recommendation](https://github.com/ttvand/Santander-Product-Recommendation) - 2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
* [ropensci/rcrossref](https://github.com/ropensci/rcrossref) - R client for various CrossRef APIs
* [briatte/ida](https://github.com/briatte/ida) - Introduction to Data Analysis, using R (2013)
* [r-lib/withr](https://github.com/r-lib/withr) - Methods For Temporarily Modifying Global State
* [hrbrmstr/docxtractr](https://github.com/hrbrmstr/docxtractr) - :scissors: Extract Tables from Microsoft Word Documents with R
* [hms-dbmi/scde](https://github.com/hms-dbmi/scde) - R package for analyzing single-cell RNA-seq data
* [YuLab-SMU/ggimage](https://github.com/YuLab-SMU/ggimage) - :art: Use Images in ggplot2
* [rstudio/chromote](https://github.com/rstudio/chromote) - Chrome Remote Interface for R
* [dreamRs/billboarder](https://github.com/dreamRs/billboarder) - :bar_chart: R Htmlwidget for billboard.js
* [cran-task-views/WebTechnologies](https://github.com/cran-task-views/WebTechnologies) - CRAN Task View: WebTechnologies
* [carlos-alberto-silva/rGEDI](https://github.com/carlos-alberto-silva/rGEDI) - rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
* [swcarpentry/r-novice-gapminder](https://github.com/swcarpentry/r-novice-gapminder) - R for Reproducible Scientific Analysis
* [ndphillips/VisualResume](https://github.com/ndphillips/VisualResume) - An R package for creating a visual resume
* [jslefche/piecewiseSEM](https://github.com/jslefche/piecewiseSEM) - Piecewise Structural Equation Modeling in R
* [cynkra/constructive](https://github.com/cynkra/constructive) - Display Idiomatic Code to Construct Most R Objects
* [faridcher/ml-course](https://github.com/faridcher/ml-course) - Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
* [shosaco/vistime](https://github.com/shosaco/vistime) - Pretty timelines in R.
* [rstudio/rstudioapi](https://github.com/rstudio/rstudioapi) - Safely access RStudio's API (when available)
* [nanxstats/liftr](https://github.com/nanxstats/liftr) - 🐳 Containerize R Markdown documents for continuous reproducibility
* [hemberg-lab/scRNA.seq.datasets](https://github.com/hemberg-lab/scRNA.seq.datasets) - Collection of public scRNA-Seq datasets used by our group
* [christophergandrud/d3Network](https://github.com/christophergandrud/d3Network) - Tools for creating D3 JavaScript network graphs from R.
* [redoc-dev/redoc](https://github.com/redoc-dev/redoc) - Reversible Reproducible Documents
* [EmilHvitfeldt/lime](https://github.com/EmilHvitfeldt/lime) - Local Interpretable Model-Agnostic Explanations (R port of original Python package)
* [thomasp85/lime](https://github.com/thomasp85/lime) - Local Interpretable Model-Agnostic Explanations (R port of original Python package)
* [ropensci/elastic](https://github.com/ropensci/elastic) - R client for the Elasticsearch HTTP API
* [pbs-assess/sdmTMB](https://github.com/pbs-assess/sdmTMB) - An R package for spatial and spatiotemporal GLMMs with TMB
* [irudnyts/openai](https://github.com/irudnyts/openai) - An R package-wrapper around OpenAI API
* [mkearney/tidyversity](https://github.com/mkearney/tidyversity) - 🎓 Tidy tools for academics
* [Appsilon/shiny.i18n](https://github.com/Appsilon/shiny.i18n) - Shiny applications internationalization made easy
* [swcarpentry/r-novice-inflammation](https://github.com/swcarpentry/r-novice-inflammation) - Programming with R
* [renkun-ken/pipeR](https://github.com/renkun-ken/pipeR) - Multi-Paradigm Pipeline Implementation
* [stefpeschel/NetCoMi](https://github.com/stefpeschel/NetCoMi) - Network construction, analysis, and comparison for microbial compositional data
* [noamross/redoc](https://github.com/noamross/redoc) - [NOTE: Project in suspended animation for now] Reversible Reproducible Documents
* [jeroen/V8](https://github.com/jeroen/V8) - Embedded JavaScript Engine for R
* [pharmaR/riskmetric](https://github.com/pharmaR/riskmetric) - Metrics to evaluate the risk of R packages
* [JohnCoene/firebase](https://github.com/JohnCoene/firebase) - Google FIrebase for shiny
* [SteffenMoritz/imputeTS](https://github.com/SteffenMoritz/imputeTS) - CRAN R Package: Time Series Missing Value Imputation
* [stan-dev/posterior](https://github.com/stan-dev/posterior) - The posterior R package
* [ropensci/rgbif](https://github.com/ropensci/rgbif) - Interface to the Global Biodiversity Information Facility API
* [ianmcook/tidyquery](https://github.com/ianmcook/tidyquery) - Query R data frames with SQL
* [eddelbuettel/anytime](https://github.com/eddelbuettel/anytime) - Anything to POSIXct or Date Converter
* [mattflor/chorddiag](https://github.com/mattflor/chorddiag) - R interface to D3 chord diagrams
* [edwindj/chunked](https://github.com/edwindj/chunked) - Chunkwise Text-file Processing for 'dplyr'
* [r-lib/ymlthis](https://github.com/r-lib/ymlthis) - write YAML for R Markdown, bookdown, blogdown, and more
* [RLesur/Rcade](https://github.com/RLesur/Rcade) - Games to procrastinate with RStudio
* [jacob-long/jtools](https://github.com/jacob-long/jtools) - Tools for summarizing/visualizing regressions and other helpful stuff
* [fawda123/rStrava](https://github.com/fawda123/rStrava) - Functions to access data from Strava's v3 API.
* [uptake/pkgnet](https://github.com/uptake/pkgnet) - R package for analyzing other R packages via graph representations of their dependencies
* [stephenturner/annotables](https://github.com/stephenturner/annotables) - R data package for annotating/converting Gene IDs
* [mkearney/textfeatures](https://github.com/mkearney/textfeatures) - 👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️
* [maxheld83/ghactions](https://github.com/maxheld83/ghactions) - GitHub actions for R and accompanying R package
* [nicholasjclark/mvgam](https://github.com/nicholasjclark/mvgam) - {mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
* [feddelegrand7/ralger](https://github.com/feddelegrand7/ralger) - ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2.
* [ShichenXie/scorecard](https://github.com/ShichenXie/scorecard) - Scorecard Development in R, 评分卡
* [ropensci/dataspice](https://github.com/ropensci/dataspice) - :hot_pepper: Create lightweight schema.org descriptions of your datasets
* [RevolutionAnalytics/checkpoint](https://github.com/RevolutionAnalytics/checkpoint) - Install R packages from snapshots on checkpoint-server
* [JuliaStats/RDatasets.jl](https://github.com/JuliaStats/RDatasets.jl) - Julia package for loading many of the data sets available in R
* [HenrikBengtsson/startup](https://github.com/HenrikBengtsson/startup) - :wrench: R package: startup - Friendly R Startup Configuration
* [erdavis1/RoadColors](https://github.com/erdavis1/RoadColors) - Plot US roads, coloring each by its designation (e.g. Street, Road, Avenue)
* [rspatial/raster](https://github.com/rspatial/raster) - R raster package https://rspatial.github.io/raster/reference/raster-package.html
* [ropensci/dev_guide](https://github.com/ropensci/dev_guide) - rOpenSci Packages: Development, Maintenance, and Peer Review
* [ranghetti/sen2r](https://github.com/ranghetti/sen2r) - Find, Download and Process Sentinel-2 Data
* [psychbruce/ChineseNames](https://github.com/psychbruce/ChineseNames) - 🀄 Chinese Name Database (1930-2008).
* [jorvlan/raincloudplots](https://github.com/jorvlan/raincloudplots) - {package} The easy way to create raincloud plots
* [andrie/miniCRAN](https://github.com/andrie/miniCRAN) - R package to create internally consistent, mini version of CRAN
* [jonathanbratt/RBERT](https://github.com/jonathanbratt/RBERT) - Implementation of BERT in R
* [jeffreyhorner/Rook](https://github.com/jeffreyhorner/Rook) - A web server interface for R
* [elliottmorris/politicaldata](https://github.com/elliottmorris/politicaldata) - 🗳📊An R package for acquiring and analyzing political data — including polls, election results, legislator information, and demographic data.
* [trr266/ExPanDaR](https://github.com/trr266/ExPanDaR) - R Package for Interactive Panel Data Exploration
* [strengejacke/sjmisc](https://github.com/strengejacke/sjmisc) - Data transformation and utility functions for R
* [oswaldosantos/ggsn](https://github.com/oswaldosantos/ggsn) - R package to add north symbols and scale bars to maps created with ggplot or ggmap
* [joshkatz/r-script](https://github.com/joshkatz/r-script) - A simple little module for passing data from NodeJS to R (and back again).
* [curso-r/auth0](https://github.com/curso-r/auth0) - Authentication in shinyapps using Auth0 service
* [quarto-dev/quarto-r](https://github.com/quarto-dev/quarto-r) - R interface to quarto-cli
* [psolymos/pbapply](https://github.com/psolymos/pbapply) - Adding progress bar to '*apply' functions in R
* [ropensci/MODIStsp](https://github.com/ropensci/MODIStsp) - An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
* [rdboyes/forester](https://github.com/rdboyes/forester) - An R package for creating publication-ready forest plots.
* [jonathancornelissen/highfrequency](https://github.com/jonathancornelissen/highfrequency) - The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.
* [talgalili/dendextend](https://github.com/talgalili/dendextend) - Extending R's Dendrogram Functionality
* [pachadotdev/analogsea](https://github.com/pachadotdev/analogsea) - Digital Ocean R client
* [nschiett/fishualize](https://github.com/nschiett/fishualize) - The fishualize package provides color scales and silhouettes for plotting in R based on nature’s most stunning and colorful organisms: teleost fishes (with a few chondrichthyan cameos).
* [MilesMcBain/capsule](https://github.com/MilesMcBain/capsule) - An inversion of renv for low effort reproducible R package libraries
* [datasciencedojo/IntroToTextAnalyticsWithR](https://github.com/datasciencedojo/IntroToTextAnalyticsWithR) - Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".
* [phil8192/ob-analytics](https://github.com/phil8192/ob-analytics) - R package intended for visualisation, analysis and reconstruction of limit order book data
* [farach/huggingfaceR](https://github.com/farach/huggingfaceR) - Hugging Face state-of-the-art models in R
* [trevorld/r-optparse](https://github.com/trevorld/r-optparse) - command-line optional argument parser
* [stan-dev/loo](https://github.com/stan-dev/loo) - loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
* [edwindj/daff](https://github.com/edwindj/daff) - Diff, patch and merge for data.frames, see  http://paulfitz.github.io/daff/
* [daroczig/fbRads](https://github.com/daroczig/fbRads) - Analyze and manage Facebook ads from R using this client library to access their Marketing APIs
* [zmeers/ggparliament](https://github.com/zmeers/ggparliament) - Simple parliament plots using ggplot2
* [r-transit/tidytransit](https://github.com/r-transit/tidytransit) - R package for working with GTFS data
* [ropensci/DataPackageR](https://github.com/ropensci/DataPackageR) - An R package to enable reproducible data processing, packaging and sharing.
* [RLesur/crrri](https://github.com/RLesur/crrri) - A Chrome Remote Interface written in R
* [rich-iannone/splitr](https://github.com/rich-iannone/splitr) - Use the HYSPLIT model from inside R and do more with it
* [ranalytics/r-tutorials](https://github.com/ranalytics/r-tutorials) - Приложения к книге "Статистический анализ и визуализация данных с помощью R"
* [benmarwick/ctv-archaeology](https://github.com/benmarwick/ctv-archaeology) - CRAN Task View: Archaeological Science
* [timelyportfolio/d3r](https://github.com/timelyportfolio/d3r) - d3.js helpers for R
* [Tazinho/snakecase](https://github.com/Tazinho/snakecase) - 🐍🐍🐍 A systematic approach to parse strings and automate the conversion to snake_case, UpperCamelCase or any other case.
* [stan-dev/cmdstanr](https://github.com/stan-dev/cmdstanr) - CmdStanR: the R interface to CmdStan
* [ShixiangWang/sigminer](https://github.com/ShixiangWang/sigminer) - 🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html
* [ropensci/tic](https://github.com/ropensci/tic) - Tasks Integrating Continuously: CI-Agnostic Workflow Definitions
* [OscarKjell/text](https://github.com/OscarKjell/text) - Using Transformers from HuggingFace in R
* [mdlincoln/clipr](https://github.com/mdlincoln/clipr) - R functions for reading and writing from the system clipboard
* [zatonovo/futile.logger](https://github.com/zatonovo/futile.logger) - A logging package in R similar to log4j
* [ropensci/geojsonio](https://github.com/ropensci/geojsonio) - Convert many data formats to & from GeoJSON & TopoJSON
* [r-lib/debugme](https://github.com/r-lib/debugme) - Easy and efficient debugging for R packages
* [dankelley/oce](https://github.com/dankelley/oce) - R package for oceanographic processing
* [yihui/xfun](https://github.com/yihui/xfun) - Miscellaneous R functions
* [eliocamp/metR](https://github.com/eliocamp/metR) - Tools for Easier Analysis of Meteorological Fields
* [dreamRs/datamods](https://github.com/dreamRs/datamods) - Shiny modules to import and manipulate data into an application or addin
* [TatevKaren/mathematics-statistics-for-data-science](https://github.com/TatevKaren/mathematics-statistics-for-data-science) - Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
* [ropensci/osfr](https://github.com/ropensci/osfr) - R interface to the Open Science Framework (OSF)
* [renozao/NMF](https://github.com/renozao/NMF) - NMF: A Flexible R package for Nonnegative Matrix Factorization
* [neuropsychology/psycho.R](https://github.com/neuropsychology/psycho.R) - An R package for experimental psychologists
* [mschubert/clustermq](https://github.com/mschubert/clustermq) - R package to send function calls as jobs on LSF, SGE, Slurm, PBS/Torque, or each via SSH
* [DoubleML/doubleml-for-r](https://github.com/DoubleML/doubleml-for-r) - DoubleML - Double Machine Learning in R
* [t-kalinowski/quickr](https://github.com/t-kalinowski/quickr) - R to Fortran Transpiler
* [tashapiro/TidyTuesday](https://github.com/tashapiro/TidyTuesday) - Data visualizations produced for  #TidyTuesdayChallenge, a challenge hosted by R for Data Science.
* [sjewo/cartogram](https://github.com/sjewo/cartogram) - r package for cartogram creation
* [saezlab/dorothea](https://github.com/saezlab/dorothea) - R package to access DoRothEA's regulons
* [ropensci/tsbox](https://github.com/ropensci/tsbox) - tsbox: Class-Agnostic Time Series in R
* [r-lib/rprojroot](https://github.com/r-lib/rprojroot) - Finding files in project subdirectories
* [profandyfield/discovr](https://github.com/profandyfield/discovr) - discovr package for R to accompany Discovering Statistics Using R and RStudio
* [nrennie/messy](https://github.com/nrennie/messy) - R package to make a data frame messy and untidy.
* [JohnCoene/packer](https://github.com/JohnCoene/packer) - webpack + npm + R = ❤️
* [royfrancis/pophelper](https://github.com/royfrancis/pophelper) - An R package to analyse and visualise admixture proportions from STRUCTURE, fastSTRUCTURE, TESS, ADMIXTURE etc.
* [kjhealy/revere](https://github.com/kjhealy/revere) - Finding Paul Revere
* [JohnCoene/g2r](https://github.com/JohnCoene/g2r) - 📈 Grammar of graphics for interactive visualisations
* [holgerbrandl/r4intellij](https://github.com/holgerbrandl/r4intellij) - An integration of the R programming language into Intellij IDEA
* [ropensci/ghql](https://github.com/ropensci/ghql) - GraphQL R client
* [paleolimbot/rbbt](https://github.com/paleolimbot/rbbt) - R Interface to the Better BiBTex Zotero Connector
* [ijlyttle/bsplus](https://github.com/ijlyttle/bsplus) - Shiny and R Markdown addons to Bootstrap 3
* [alyssafrazee/ballgown](https://github.com/alyssafrazee/ballgown) - Bioconductor package "ballgown", devel version. Isoform-level differential expression analysis in R.
* [trr266/tidycovid19](https://github.com/trr266/tidycovid19) - {tidycovid19}: An R Package to Download, Tidy and Visualize Covid-19 Related Data
* [rtemis-org/rtemis](https://github.com/rtemis-org/rtemis) - Advanced Machine Learning and Visualization
* [robjhyndman/fpp3](https://github.com/robjhyndman/fpp3) - All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>.  All packages required to run the examples are also loaded.
* [openpharma/mmrm](https://github.com/openpharma/mmrm) - Mixed Models for Repeated Measures (MMRM) in R.
* [MangoTheCat/rmdshower](https://github.com/MangoTheCat/rmdshower) - R Markdown template for shower
* [Kaggle/docker-rstats](https://github.com/Kaggle/docker-rstats) - Kaggle R docker image
* [ehrlinger/ggRandomForests](https://github.com/ehrlinger/ggRandomForests) - Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.
* [CornellLabofOrnithology/auk](https://github.com/CornellLabofOrnithology/auk) - Working with eBird data in R
* [bart6114/jug](https://github.com/bart6114/jug) - jug: A Simple Web Framework for R
* [ropensci/tarchetypes](https://github.com/ropensci/tarchetypes) - Archetypes for targets and pipelines
* [robertzk/syberia](https://github.com/robertzk/syberia) - Syberia: The development framework for R
* [metrumresearchgroup/mrgsolve](https://github.com/metrumresearchgroup/mrgsolve) - Simulate from ODE-based population PK/PD and QSP models in R
* [dreamRs/apexcharter](https://github.com/dreamRs/apexcharter) - :bar_chart: R Htmlwidget for ApexCharts.js
* [cavaunpeu/statistical-rethinking](https://github.com/cavaunpeu/statistical-rethinking) - Solutions for the practice problems
* [wlandau/crew](https://github.com/wlandau/crew) - A distributed worker launcher
* [SciML/diffeqr](https://github.com/SciML/diffeqr) - Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
* [schochastics/networkdata](https://github.com/schochastics/networkdata) - R package containing several network datasets
* [ropensci/jqr](https://github.com/ropensci/jqr) - R interface to jq
* [rivasiker/ggHoriPlot](https://github.com/rivasiker/ggHoriPlot) - A user-friendly, highly customizable R package for building horizon plots in ggplot2
* [Novartis/tidymodules](https://github.com/Novartis/tidymodules) - An Object-Oriented approach to Shiny modules
* [MRCIEU/gwasglue](https://github.com/MRCIEU/gwasglue) - Linking GWAS data to analytical tools in R
* [mlr-org/mlr3pipelines](https://github.com/mlr-org/mlr3pipelines) - Dataflow Programming for Machine Learning in R
* [r-lib/available](https://github.com/r-lib/available) - Check if a package name is available to use
* [JulianHill/R-Tutorials](https://github.com/JulianHill/R-Tutorials) - Code from the r tutorial on my blog
* [JesseVent/crypto](https://github.com/JesseVent/crypto) - Cryptocurrency Historical Market Data R Package
* [grunwaldlab/metacoder](https://github.com/grunwaldlab/metacoder) - Parsing, Manipulation, and Visualization of Metabarcoding/Taxonomic data
* [PheWAS/PheWAS](https://github.com/PheWAS/PheWAS) - The PheWAS R package
* [m-clark/mixed-models-with-R](https://github.com/m-clark/mixed-models-with-R) - Covers the basics of mixed models, mostly using @lme4
* [dreamRs/prefixer](https://github.com/dreamRs/prefixer) - Prefix function with their namespace & other development tools
* [AndreaCirilloAC/updateR](https://github.com/AndreaCirilloAC/updateR) - update your R version in a breeze ( on OSX)  √
* [vue-r/vueR](https://github.com/vue-r/vueR) - vue.js for R
* [tidyverse/hms](https://github.com/tidyverse/hms) - A simple class for storing time-of-day values
* [rstudio/rsconnect](https://github.com/rstudio/rsconnect) - Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more
* [r-lib/ellipsis](https://github.com/r-lib/ellipsis) - Tools for Working with ...
* [mattansb/Structural-Equation-Modeling-foR-Psychologists](https://github.com/mattansb/Structural-Equation-Modeling-foR-Psychologists) - Lesson files used in the Structural Equation Modeling for Psychologists.
* [EmilHvitfeldt/prismatic](https://github.com/EmilHvitfeldt/prismatic) - color manipulation R package Simply and Tidy
* [drostlab/philentropy](https://github.com/drostlab/philentropy) - Information Theory and Distance Quantification with R
* [vdeminstitute/vdemdata](https://github.com/vdeminstitute/vdemdata) - An R package to load, explore and work with the most recent V-Dem (Varieties of Democracy) dataset.
* [trulia/choroplethr](https://github.com/trulia/choroplethr) - choroplethr simplifies the creation of choropleths (thematic maps) in R
* [thomasp85/farver](https://github.com/thomasp85/farver) - High Performance Colourspace Manipulation in R
* [seankross/lego](https://github.com/seankross/lego) - :smiley: R data package featuring every Lego set from 1970 to 2015
* [samterfa/openai](https://github.com/samterfa/openai) - This R package provides an SDK to the Open AI API
* [saezlab/OmnipathR](https://github.com/saezlab/OmnipathR) - R client for the OmniPath web service
* [quandl/quandl-r](https://github.com/quandl/quandl-r) - This is Quandl's R Package
* [noamross/nyhackr-docker-talk](https://github.com/noamross/nyhackr-docker-talk) - Slides, Code, and Links to Resources from "Docker for the User," delivered at nyhackr 2018-07-11
* [mlr-org/mlr3proba](https://github.com/mlr-org/mlr3proba) - Probabilistic Learning for mlr3
* [google/GeoexperimentsResearch](https://github.com/google/GeoexperimentsResearch) - An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.
* [dlab-berkeley/R-Fundamentals-Legacy](https://github.com/dlab-berkeley/R-Fundamentals-Legacy) - D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
* [coolbutuseless/emphatic](https://github.com/coolbutuseless/emphatic) - Highlighting R output in the console
* [ropensci/osmplotr](https://github.com/ropensci/osmplotr) - Data visualisation using OpenStreetMap objects
* [mdneuzerling/lambdr](https://github.com/mdneuzerling/lambdr) - Run R containers on AWS Lambda
* [karoliskoncevicius/basetheme](https://github.com/karoliskoncevicius/basetheme) - Themes for base plotting system in R
* [cloudly/Play-Econometrics-with-R](https://github.com/cloudly/Play-Econometrics-with-R) - a brochure about "Play Econometrics with R"
* [r-lib/evaluate](https://github.com/r-lib/evaluate) - A version of eval for R that returns more information about what happened
* [MatsuuraKentaro/Bayesian_Statistical_Modeling_with_Stan_R_and_Python](https://github.com/MatsuuraKentaro/Bayesian_Statistical_Modeling_with_Stan_R_and_Python) - Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
* [jamesjiadazhan/dietaryindex](https://github.com/jamesjiadazhan/dietaryindex) - R Package for Calculating Healthy Eating Index-2020 (HEI2020), Alternative Healthy Eating Index (AHEI),  Dietary Approaches to Stop Hypertension (DASH), Mediterranean Diet (MED), Dietary Inflammation Index (DII), and Planetary Health Diet Index from the EAT-Lancet Commission (PHDI) for the NHANES, ASA24, DHQ, and other dietary assessments
* [HenrikBengtsson/Wishlist-for-R](https://github.com/HenrikBengtsson/Wishlist-for-R) - Features and tweaks to R that I and others would love to see - feel free to add yours!
* [ayueme/easyTCGA](https://github.com/ayueme/easyTCGA) - Make TCGA download and prepare easy!
* [WinVector/wrapr](https://github.com/WinVector/wrapr) - Wrap R for Sweet R Code
* [seanchrismurphy/A-Psychologists-Guide-to-R](https://github.com/seanchrismurphy/A-Psychologists-Guide-to-R) - A repository containing the course notes and worked examples for a six week course in the R statistical programming language aimed at helping psychology students and faculty to learn R. This course was taught live at the University of Melbourne, Australia in 2016.
* [jimmyday12/fitzRoy](https://github.com/jimmyday12/fitzRoy) - A set of functions to easily access AFL data
* [datacamp/courses-introduction-to-r](https://github.com/datacamp/courses-introduction-to-r) - Introduction to R by Jonathan Cornelissen
* [ardata-fr/mschart](https://github.com/ardata-fr/mschart) - :bar_chart: mschart: office charts from R
* [rkillick/changepoint](https://github.com/rkillick/changepoint) - A place for the development version of the changepoint package on CRAN.
* [r-devel/r-svn](https://github.com/r-devel/r-svn) - Mirror of the R svn with CI for testing patches
* [ndphillips/FFTrees](https://github.com/ndphillips/FFTrees) - An R package to create and visualise fast-and-frugal decision trees (FFTs)
* [hadley/babynames](https://github.com/hadley/babynames) - An R package containing US baby names from the SSA
* [10XGenomics/loupeR](https://github.com/10XGenomics/loupeR) - Convert Seurat objects to 10x Genomics Loupe files.
* [GuangchuangYu/ggimage](https://github.com/GuangchuangYu/ggimage) - :art: Use Images in ggplot2
* [WLOGSolutions/RSuite](https://github.com/WLOGSolutions/RSuite) - The most complete R development and data science platform.
* [richfitz/stevedore](https://github.com/richfitz/stevedore) - :cloud::rowboat::whale::cloud: Docker client for R
* [r-dbi/RMariaDB](https://github.com/r-dbi/RMariaDB) - An R interface to MariaDB
* [nrennie/aRt](https://github.com/nrennie/aRt) - R package to create generative art.
* [cstawitz/roomba](https://github.com/cstawitz/roomba) - General purpose API response tidier
* [rstudio/sortable](https://github.com/rstudio/sortable) - R htmlwidget for Sortable.js
* [jhollist/elevatr](https://github.com/jhollist/elevatr) - An R package for accessing elevation data
* [jennybc/repurrrsive](https://github.com/jennybc/repurrrsive) - Recursive lists to use in teaching and examples, because there is no mtcars for lists.
* [futureverse/parallelly](https://github.com/futureverse/parallelly) - R package: parallelly - Enhancing the 'parallel' Package
* [16EAGLE/moveVis](https://github.com/16EAGLE/moveVis) - An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
* [ANTsX/ANTsR](https://github.com/ANTsX/ANTsR) - R interface to the ANTs biomedical image processing library
* [XSaintX/libroR-AnalisisDatos](https://github.com/XSaintX/libroR-AnalisisDatos) - this project contains R code about analysing data from the book Analisis de datos con R
* [taylor-arnold/cleanNLP](https://github.com/taylor-arnold/cleanNLP) - R package providing annotators and a normalized data model for natural language processing
* [svalvaro/drawCell](https://github.com/svalvaro/drawCell) - R package to create cell pictures.
* [renanxcortes/springerQuarantineBooksR](https://github.com/renanxcortes/springerQuarantineBooksR) - Download all books made available by Springer during the COVID-19 quarantine!
* [jolars/eulerr](https://github.com/jolars/eulerr) - Area-Proportional Euler and Venn Diagrams with Ellipses
* [pwwang/scplotter](https://github.com/pwwang/scplotter) - scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.
* [egenn/rtemis](https://github.com/egenn/rtemis) - Advanced Machine Learning and Visualization
* [lindbrook/cholera](https://github.com/lindbrook/cholera) - R Package for Analyzing John Snow's 1854 Cholera Map
* [r-lib/keyring](https://github.com/r-lib/keyring) - :closed_lock_with_key: Access the system credential store from R
* [mllg/batchtools](https://github.com/mllg/batchtools) - Tools for computation on batch systems
* [shikokuchuo/mirai](https://github.com/shikokuchuo/mirai) - mirai - Minimalist Async Evaluation Framework for R
* [joachim-gassen/ExPanDaR](https://github.com/joachim-gassen/ExPanDaR) - R Package for Interactive Panel Data Exploration
* [joachim-gassen/tidycovid19](https://github.com/joachim-gassen/tidycovid19) - {tidycovid19}: An R Package to Download, Tidy and Visualize Covid-19 Related Data
* [nteetor/yonder](https://github.com/nteetor/yonder) - A reactive web framework built on shiny
* [carlganz/rintrojs](https://github.com/carlganz/rintrojs) - Wrapper for the Intro.js library
* [R-ArcGIS/r-sample-tools](https://github.com/R-ArcGIS/r-sample-tools) -  Sample tools illustrating R usage in geoprocessing scripts
* [jseidman/hadoop-R](https://github.com/jseidman/hadoop-R) - Example code for running R on Hadoop
* [geoarrow/geoarrow-r](https://github.com/geoarrow/geoarrow-r) - Extension types for geospatial data for use with 'Arrow'
* [cloudyr/googleComputeEngineR](https://github.com/cloudyr/googleComputeEngineR) - An R interface to the Google Cloud Compute API, for launching virtual machines
* [ThinkR-open/fakir](https://github.com/ThinkR-open/fakir) - Create Fake Data in R for tutorials
* [mtennekes/cols4all](https://github.com/mtennekes/cols4all) - Colors for all (R package)
* [ncborcherding/scRepertoire](https://github.com/ncborcherding/scRepertoire) - A toolkit for single-cell immune profiling
* [richarddmorey/BayesFactor](https://github.com/richarddmorey/BayesFactor) - BayesFactor R package for Bayesian data analysis with common statistical models.
* [oscarperpinan/spacetime-vis](https://github.com/oscarperpinan/spacetime-vis) - Sources of the book "Displaying time series, spatial and space-time data with R" (1st Edition)
* [ZeBang/tensorTS](https://github.com/ZeBang/tensorTS) - R package for autoregressive, reduced-rank, and factor models in time series.
* [tidyverse/elmer](https://github.com/tidyverse/elmer) - Call LLM APIs from R
* [statsmaths/cleanNLP](https://github.com/statsmaths/cleanNLP) - R package providing annotators and a normalized data model for natural language processing
* [tkonopka/umap](https://github.com/tkonopka/umap) - Uniform Manifold Approximation and Projection - R package
* [HenrikBengtsson/future](https://github.com/HenrikBengtsson/future) - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
* [ropensci/rtweet](https://github.com/ropensci/rtweet) - 🐦 R client for interacting with Twitter's [stream and REST] APIs
* [Veronica0206/nlpsem](https://github.com/Veronica0206/nlpsem) - R package for analyzing nonlinear longitudinal processes in the structural equation modeling framework
* [HenrikBengtsson/progressr](https://github.com/HenrikBengtsson/progressr) - 三 R package: An Inclusive, Unifying API for Progress Updates
* [RomanTsegelskyi/rbooks](https://github.com/RomanTsegelskyi/rbooks) - A curated list of #rstats books
* [HenrikBengtsson/future.apply](https://github.com/HenrikBengtsson/future.apply) - :rocket: R package: future.apply -  Apply Function to Elements in Parallel using Futures
* [prestodb/RPresto](https://github.com/prestodb/RPresto) - DBI-based adapter for Presto for the statistical programming language R.
* [hadley/lazyeval](https://github.com/hadley/lazyeval) - Lazy evaluation: an alternative to non-standard evaluation (NSE) for R
* [r-lib/rray](https://github.com/r-lib/rray) - Simple Arrays
* [nredell/forecastML](https://github.com/nredell/forecastML) - An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
* [maju116/platypus](https://github.com/maju116/platypus) - R package for object detection and image segmentation.
* [line/conflr](https://github.com/line/conflr) - Post R Markdown documents to Confluence
* [XD-DENG/ECharts2Shiny](https://github.com/XD-DENG/ECharts2Shiny) - To insert interactive charts from ECharts into R Shiny applications (在R Shiny app中插入ECharts可交互图形)
* [miraisolutions/xlconnect](https://github.com/miraisolutions/xlconnect) - XLConnect: Excel Connector for R
* [Torvaney/ggsoccer](https://github.com/Torvaney/ggsoccer) - Plot soccer event data in R/ggplot2
* [rubenarslan/codebook](https://github.com/rubenarslan/codebook) - Cook rmarkdown codebooks from metadata on R data frames
* [robjhyndman/fpp3package](https://github.com/robjhyndman/fpp3package) - All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>.  All packages required to run the examples are also loaded.
* [walkerke/crsuggest](https://github.com/walkerke/crsuggest) - Get appropriate CRS suggestions for your spatial data in R
* [sewardlee337/finreportr](https://github.com/sewardlee337/finreportr) - R package - Financial Data from U.S. Securities and Exchange Commission
* [HenrikBengtsson/parallelly](https://github.com/HenrikBengtsson/parallelly) - R package: parallelly - Enhancing the 'parallel' Package
* [rweekly/rweekly.org](https://github.com/rweekly/rweekly.org) - R Weekly
* [devOpifex/ambiorix](https://github.com/devOpifex/ambiorix) - 🖥️ Web framework for R
* [mikelove/bioc-refcard](https://github.com/mikelove/bioc-refcard) - Bioconductor cheat sheet
* [greta-dev/greta](https://github.com/greta-dev/greta) - simple and scalable statistical modelling in R
* [daroczig/logger](https://github.com/daroczig/logger) - A lightweight, modern and flexible, log4j and futile.logger inspired logging utility for R
* [duckdblabs/duckplyr](https://github.com/duckdblabs/duckplyr) - A drop-in replacement for dplyr, powered by DuckDB for performance.
* [tomaztk/Useless_R_functions](https://github.com/tomaztk/Useless_R_functions) - Useless R Functions. That's it
* [tidyverse/nycflights13](https://github.com/tidyverse/nycflights13) - An R data package containing all out-bound flights from NYC in 2013 + useful metdata
* [randyzwitch/RSiteCatalyst](https://github.com/randyzwitch/RSiteCatalyst) - R package to access Adobe Analytics Reporting API v1.4
* [isinaltinkaya/gptchatteR](https://github.com/isinaltinkaya/gptchatteR) - An experimental and unofficial wrapper for interacting with OpenAI GPT models in R.
* [vincentarelbundock/modelsummary](https://github.com/vincentarelbundock/modelsummary) - Beautiful and customizable model summaries in R.
* [rte-antares-rpackage/manipulateWidget](https://github.com/rte-antares-rpackage/manipulateWidget) - Add More Interactivity to htmlwidgets
* [jacob-long/interactions](https://github.com/jacob-long/interactions) - A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions. A spinoff from the `jtools` package.
* [beanumber/etl](https://github.com/beanumber/etl) - R package to facilitate ETL operations
* [rstudio/keras](https://github.com/rstudio/keras) - R Interface to Keras
* [Keiku/kaggle-airbnb-recruiting-new-user-bookings](https://github.com/Keiku/kaggle-airbnb-recruiting-new-user-bookings) - 2nd Place Solution in Kaggle Airbnb New User Bookings competition
* [JonasSchroeder/InstaCrawlR](https://github.com/JonasSchroeder/InstaCrawlR) - Crawl public Instagram data using R scripts without API access token. See InstaCrawlR Instructions.pdf
* [MangoTheCat/goodpractice](https://github.com/MangoTheCat/goodpractice) - Advice on R Package Building
* [LTLA/SingleR](https://github.com/LTLA/SingleR) - Clone of the Bioconductor repository for the SingleR package.
* [mattansb/Practical-Applications-in-R-for-Psychologists](https://github.com/mattansb/Practical-Applications-in-R-for-Psychologists) - Lesson files for Practical Applications in R for Psychologists.
* [hrbrmstr/sergeant](https://github.com/hrbrmstr/sergeant) - :guardsman: Tools to Transform and Query Data with 'Apache' 'Drill'
* [matloff/regtools](https://github.com/matloff/regtools) - Various tools for linear, nonlinear and nonparametric regression.
* [cloudyr/rmote](https://github.com/cloudyr/rmote) - Utilities for running R on a remote server
* [ropensci/tabulizer](https://github.com/ropensci/tabulizer) - Bindings for Tabula PDF Table Extractor Library
* [christophM/iml](https://github.com/christophM/iml) - iml: interpretable machine learning R package
* [lockedata/starters](https://github.com/lockedata/starters) - R Package 📦 for initializing projects for various R activities :nut_and_bolt:
* [ColinFay/attempt](https://github.com/ColinFay/attempt) - Tools for defensive programming in R
* [nexr/RHive](https://github.com/nexr/RHive) - RHive is an R extension facilitating distributed computing via Apache Hive.
* [bhaskarvk/leaflet.extras](https://github.com/bhaskarvk/leaflet.extras) - Extra functionality for leaflet R package.
* [jbisanz/qiime2R](https://github.com/jbisanz/qiime2R) - Import qiime2 artifacts to R
* [globeandmail/startr](https://github.com/globeandmail/startr) - A template for data journalism in R
* [hrbrmstr/statebins](https://github.com/hrbrmstr/statebins) - Alternative to choropleths of US States ala http://bit.ly/statebins
* [edgararuiz-zz/dbplot](https://github.com/edgararuiz-zz/dbplot) - Simplifies plotting of database and sparklyr data
* [beechung/Latent-Factor-Models](https://github.com/beechung/Latent-Factor-Models) - R functions for fitting latent factor models with internal computation in C/C++
* [r-lib/desc](https://github.com/r-lib/desc) - Manipulate DESCRIPTION files
* [crsh/papaja](https://github.com/crsh/papaja) - papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.
* [ropensci/assertr](https://github.com/ropensci/assertr) - Assertive programming for R analysis pipelines
* [rexyai/rsparse](https://github.com/rexyai/rsparse) - Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
* [swarm-lab/Rvision](https://github.com/swarm-lab/Rvision) - Basic computer vision library for R
* [grantmcdermott/plot2](https://github.com/grantmcdermott/plot2) - Lightweight extension of base R's plot system
* [gadenbuie/countdown](https://github.com/gadenbuie/countdown) - ⏲ countdown timer for R Markdown slides and HTML docs
* [emitanaka/anicon](https://github.com/emitanaka/anicon) - Animated icons for R markdown and Shiny apps
* [coolbutuseless/tickle](https://github.com/coolbutuseless/tickle) - Easily create UIs in base R
* [theislab/kBET](https://github.com/theislab/kBET) - An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.
* [mkearney/pkgverse](https://github.com/mkearney/pkgverse) - 📦🔭🌠 Create your own universe of packages à la tidyverse
* [facebookexperimental/Robyn](https://github.com/facebookexperimental/Robyn) - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
* [avehtari/BDA_R_demos](https://github.com/avehtari/BDA_R_demos) - Bayesian Data Analysis demos for R
* [syberia/syberia](https://github.com/syberia/syberia) - Syberia: The development framework for R
* [MarkEdmondson1234/ga-dashboard-demo](https://github.com/MarkEdmondson1234/ga-dashboard-demo) - A demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL
* [leeper/meme](https://github.com/leeper/meme) - Meme Generation in R
* [SMAPPNYU/smappR](https://github.com/SMAPPNYU/smappR) - R tools for analysis of Twitter data
* [COVAIL/cognizer](https://github.com/COVAIL/cognizer) - R package to call IBM Watson services.
* [r-lib/pak](https://github.com/r-lib/pak) - A fresh approach to package installation
* [leeper/rio](https://github.com/leeper/rio) - A Swiss-Army Knife for Data I/O
* [RConsortium/OOP-WG](https://github.com/RConsortium/OOP-WG) - S7: a new OO system for R
* [soodoku/tuber](https://github.com/soodoku/tuber) - :sweet_potato: Access YouTube from R
* [stephenturner/qqman](https://github.com/stephenturner/qqman) - An R package for creating Q-Q and manhattan plots from GWAS results
* [corynissen/fitbitScraper](https://github.com/corynissen/fitbitScraper) - R package to scrape fitbit data
* [yihui/printr](https://github.com/yihui/printr) - Some (magical) printing methods for knitr
* [robjhyndman/anomalous-acm](https://github.com/robjhyndman/anomalous-acm) - Anomalous time series package for R (ACM)
* [cpsievert/pitchRx](https://github.com/cpsievert/pitchRx) - Tools for scraping MLB Gameday data and Visualizing PITCHf/x
* [emilyriederer/projmgr](https://github.com/emilyriederer/projmgr) - R-based project management tools
* [dlab-berkeley/R-Deep-Learning](https://github.com/dlab-berkeley/R-Deep-Learning) - Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
* [yihui/recharts](https://github.com/yihui/recharts) - An R Interface to Apache ECharts (incubating)
* [vertica/ddR](https://github.com/vertica/ddR) - Standard API for Distributed Data Structures in R
* [richfitz/storr](https://github.com/richfitz/storr) - :package: Object cacher for R
* [jmstanto/data-science-r](https://github.com/jmstanto/data-science-r) - R code and documentation for "Introduction to Data Science" by Jeffrey Stanton
* [Non-Contradiction/JuliaCall](https://github.com/Non-Contradiction/JuliaCall) - Embed Julia in R
* [rladies/starter-kit](https://github.com/rladies/starter-kit) - Some useful R-Ladies files :purple_heart: :earth_africa:
* [Bart6114/jug](https://github.com/Bart6114/jug) - jug: A Simple Web Framework for R
* [dlab-berkeley/R-Fundamentals](https://github.com/dlab-berkeley/R-Fundamentals) - D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
* [ropensci-archive/bomrang](https://github.com/ropensci-archive/bomrang) - :warning: ARCHIVED :warning: Australian government Bureau of Meteorology (BOM) data client for R
* [xfim/ggmcmc](https://github.com/xfim/ggmcmc) - Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
* [rstudio-conf-2020/big-data](https://github.com/rstudio-conf-2020/big-data) - :wrench: Use dplyr to analyze Big Data :elephant:
* [r-lib/gargle](https://github.com/r-lib/gargle) - Infrastructure for calling Google APIs from R, including auth
* [RinteRface/fullPage](https://github.com/RinteRface/fullPage) - 📄 fullPage.js, pagePiling.js and multiScroll.js for shiny
* [quanteda/stopwords](https://github.com/quanteda/stopwords) - Multilingual Stopword Lists in R
* [leonawicz/tabr](https://github.com/leonawicz/tabr) - R package: tabr. Notation-based and tidy music data analysis and transcription.
* [crowding/vadr](https://github.com/crowding/vadr) - Making R a better language
* [trinker/lexicon](https://github.com/trinker/lexicon) - A data package containing lexicons and dictionaries for text analysis
* [RinteRface/shinybulma](https://github.com/RinteRface/shinybulma) - 🌐 Bulma.io for Shiny
* [leifeld/texreg](https://github.com/leifeld/texreg) - Conversion of R Regression Output to LaTeX or HTML Tables
* [genome/sciclone](https://github.com/genome/sciclone) - An R package for inferring the subclonal architecture of tumors
* [earowang/hts](https://github.com/earowang/hts) - Hierarchical and Grouped Time Series
* [prioritizr/prioritizr](https://github.com/prioritizr/prioritizr) - Systematic conservation prioritization in R
* [pablobarbera/streamR](https://github.com/pablobarbera/streamR) - Dev version of streamR package: Access to Twitter Streaming API via R
* [njtierney/brolgar](https://github.com/njtierney/brolgar) - BRowse Over Longitudinal Data Graphically and Analytically in R
* [lgatto/MSnbase](https://github.com/lgatto/MSnbase) - Base Classes and Functions for Mass Spectrometry and Proteomics
* [keberwein/blscrapeR](https://github.com/keberwein/blscrapeR) - A tool to gather, analyze and visualize data from the Bureau of Labor Statistics (BLS) API. Functions include segmentation, geographic analysis and visualization.
* [hadley/secure](https://github.com/hadley/secure) - Secure private R data in public packages
* [datacarpentry/r-raster-vector-geospatial](https://github.com/datacarpentry/r-raster-vector-geospatial) - Introduction to Geospatial Raster and Vector Data with R
* [Azure/doAzureParallel](https://github.com/Azure/doAzureParallel) - A R package that allows users to submit parallel workloads in Azure
* [Azure/azureml-sdk-for-r](https://github.com/Azure/azureml-sdk-for-r) - Azure Machine Learning SDK for R
* [rezakj/iCellR](https://github.com/rezakj/iCellR) - Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
* [mwip/beautifyR](https://github.com/mwip/beautifyR) - RStudio addin for formatting Rmarkdown tables
* [christophsax/seasonal](https://github.com/christophsax/seasonal) - R interface to X-13ARIMA-SEATS
* [ropensci-archive/umapr](https://github.com/ropensci-archive/umapr) - :no_entry: ARCHIVED :no_entry: Wraps UMAP Algorithm for Dimension Reduction
* [emitanaka/shinycustomloader](https://github.com/emitanaka/shinycustomloader) - Add a custom loader for R shiny
* [dipanjanS/learning-social-media-analytics-with-r](https://github.com/dipanjanS/learning-social-media-analytics-with-r) - This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
* [delta-rho/trelliscope](https://github.com/delta-rho/trelliscope) - Detailed Visualization of Large Complex Data in R
* [ujjwalkarn/xda](https://github.com/ujjwalkarn/xda) - R package for exploratory data analysis
* [ropensci/RefManageR](https://github.com/ropensci/RefManageR) - R package RefManageR
* [mjockers/syuzhet](https://github.com/mjockers/syuzhet) - An R package for the extraction of sentiment and sentiment-based plot arcs from text
* [mlr-org/mlr3book](https://github.com/mlr-org/mlr3book) - mlr3 manual
* [rstudio/bigdataclass](https://github.com/rstudio/bigdataclass) - Two-day workshop that covers how to use R to interact databases and Spark
* [piersyork/owidR](https://github.com/piersyork/owidR) - An R Package for Importing Data from Our World in Data
* [cbailiss/pivottabler](https://github.com/cbailiss/pivottabler) - Create Pivot Tables natively in R
* [malcolmbarrett/ggdag](https://github.com/malcolmbarrett/ggdag) - :arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)
* [SymbolixAU/googleway](https://github.com/SymbolixAU/googleway) - R Package for accessing and plotting Google Maps
* [ropensci/googleLanguageR](https://github.com/ropensci/googleLanguageR) - R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
* [giswqs/whiteboxR](https://github.com/giswqs/whiteboxR) - WhiteboxTools R Frontend
* [ropensci-archive/rorcid](https://github.com/ropensci-archive/rorcid) - :warning: ARCHIVED :warning: A programmatic interface the Orcid.org API
* [minimaxir/reddit-bigquery](https://github.com/minimaxir/reddit-bigquery) - Code + Jupyter notebook for analyzing and visualizing Reddit Data quickly and easily
* [Roche/rtables](https://github.com/Roche/rtables) - Reporting tables with R
* [christophsax/tsbox](https://github.com/christophsax/tsbox) - tsbox: Class-Agnostic Time Series in R
* [briatte/ggnetwork](https://github.com/briatte/ggnetwork) - Geoms to plot networks with ggplot2
* [r-lib/rcmdcheck](https://github.com/r-lib/rcmdcheck) - Run R CMD check from R and collect the results
* [boboppie/kruschke-doing_bayesian_data_analysis](https://github.com/boboppie/kruschke-doing_bayesian_data_analysis) - John K. Kruschke's Doing Bayesian Data Analysis:  A Tutorial with R and BUGS
* [riatelab/linemap](https://github.com/riatelab/linemap) - :aquarius: Create maps made of lines
* [devOpifex/g2r](https://github.com/devOpifex/g2r) - Grammar of graphics for interactive visualisation using G2.js
* [singmann/afex](https://github.com/singmann/afex) - Analysis of Factorial EXperiments (R package)
* [davebraze/FDBeye](https://github.com/davebraze/FDBeye) - R tools for eyetracker workflows.
* [Robinlovelace/geocompr](https://github.com/Robinlovelace/geocompr) - Open source book: Geocomputation with R
* [r-spatial/mapview](https://github.com/r-spatial/mapview) - Interactive viewing of spatial data in R
* [radiant-rstats/radiant](https://github.com/radiant-rstats/radiant) - Business analytics using R and Shiny. The radiant app combines the menus from radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.
* [SebKrantz/collapse](https://github.com/SebKrantz/collapse) - Advanced and Fast Data Transformation in R
* [ewenharrison/finalfit](https://github.com/ewenharrison/finalfit) - Quickly create elegant regression results tables and plots when modelling in R
* [eddelbuettel/drat](https://github.com/eddelbuettel/drat) - Drat R Archive Template
* [VanLoo-lab/ascat](https://github.com/VanLoo-lab/ascat) - ASCAT copy number R package
* [EagerAI/fastai](https://github.com/EagerAI/fastai) - R interface to fast.ai
* [vimc/orderly](https://github.com/vimc/orderly) - :hospital::ambulance: Lightweight Reproducible Reporting for R
* [MarkEdmondson1234/searchConsoleR](https://github.com/MarkEdmondson1234/searchConsoleR) - R interface with Google Search Console API v3, including Search Analytics.
* [SymbolixAU/mapdeck](https://github.com/SymbolixAU/mapdeck) - R interface to Deck.gl and Mapbox
* [USGS-R/dataRetrieval](https://github.com/USGS-R/dataRetrieval) - This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services. See: https://rconnect.usgs.gov/dataRetrieval/
* [AdrianAntico/RemixAutoML](https://github.com/AdrianAntico/RemixAutoML) - R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
* [hughjonesd/santoku](https://github.com/hughjonesd/santoku) - A versatile cutting tool for R
* [tidymodels/TMwR](https://github.com/tidymodels/TMwR) - Code and content for "Tidy Modeling with R"
* [MilesMcBain/friendlyeval](https://github.com/MilesMcBain/friendlyeval) - A friendly interface to tidyeval/rlang that will excuse itself when you're done.
* [timoast/signac](https://github.com/timoast/signac) - R toolkit for the analysis of single-cell chromatin data
* [jennybc/debugging](https://github.com/jennybc/debugging) - Talk about general debugging strategies. How to be less confused and frustrated.
* [xrobin/pROC](https://github.com/xrobin/pROC) - Display and analyze ROC curves in R and S+
* [TommyJones/textmineR](https://github.com/TommyJones/textmineR) - An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
* [quanteda/readtext](https://github.com/quanteda/readtext) - an R package for reading text files
* [ropensci/rplos](https://github.com/ropensci/rplos) - R client for the PLoS Journals API
* [ropensci/fulltext](https://github.com/ropensci/fulltext) - Search across and get full text for OA & closed journals
* [ropensci/rorcid](https://github.com/ropensci/rorcid) - A programmatic interface the Orcid.org API
* [Ironholds/pystr](https://github.com/Ironholds/pystr) - Python String Methods in R.
* [cboettig/template](https://github.com/cboettig/template) - :package: A template for my research projects, based on the R package structure
* [Ronggui/RQDA](https://github.com/Ronggui/RQDA) - R-based Qualitative Data Analysis
* [pablobarbera/instaR](https://github.com/pablobarbera/instaR) - Dev version of instaR package: Access to Instagram API via R
* [nflverse/nflfastR-data](https://github.com/nflverse/nflfastR-data) - builds play by play and player stats for nflverse/nflverse-data
* [jthaman/ciTools](https://github.com/jthaman/ciTools) - An R Package for Quick Uncertainty Intervals
* [jasdumas/shinyLP](https://github.com/jasdumas/shinyLP) - A R package for Bootstrap Components to make Landing Home Pages for Shiny :globe_with_meridians:
* [adletaw/captioner](https://github.com/adletaw/captioner) - an R package for generating figure/table numbers and captions, especially for Rmd docs
* [trinker/reports](https://github.com/trinker/reports) - An R package to assist in the workflow of writing academic articles and other reports
* [gimoya/theBioBucket-Archives](https://github.com/gimoya/theBioBucket-Archives) - R-Code used in my blog theBioBucket
* [rstudio/distill](https://github.com/rstudio/distill) - Distill for R Markdown
* [nik01010/dashboardthemes](https://github.com/nik01010/dashboardthemes) - Now on CRAN: custom theme support for R Shinydashboard applications.
* [avehtari/ROS-Examples](https://github.com/avehtari/ROS-Examples) - Regression and other stories R examples
* [ropensci-archive/learngganimate](https://github.com/ropensci-archive/learngganimate) - :no_entry: ARCHIVED :no_entry: A living, breathing community exploration of  the gganimate R package. A rOpenSci #ozunconf2018 project
* [R-ArcGIS/r-bridge](https://github.com/R-ArcGIS/r-bridge) -  Bridge library to connect ArcGIS and R, including arcgisbinding R library.
* [jburkhardt/RAdwords](https://github.com/jburkhardt/RAdwords) - Loading Google Adwords Data into R
* [ropensci/bomrang](https://github.com/ropensci/bomrang) - Australian government Bureau of Meteorology (BOM) data client for R
* [cosname/art-r-translation](https://github.com/cosname/art-r-translation) - 《R语言编程艺术》翻译项目文件
* [andrewheiss/colourlovers](https://github.com/andrewheiss/colourlovers) - 🎨 📦  R Client for the COLOURlovers API
* [ropensci/ezknitr](https://github.com/ropensci/ezknitr) - Avoid the typical working directory pain when using 'knitr'
* [herbps10/reactor](https://github.com/herbps10/reactor) - Interactive notebooks for R
* [lockedata/datasauRus](https://github.com/lockedata/datasauRus) - R Package 📦 Containing the Datasaurus Dozen datasets :bar_chart:
* [JohnCoene/ambiorix](https://github.com/JohnCoene/ambiorix) - 🖥️ Web framework for R
* [hrbrmstr/splashr](https://github.com/hrbrmstr/splashr) - :sweat_drops: Tools to Work with the 'Splash' JavaScript Rendering Service in R
* [gshs-ornl/wbstats](https://github.com/gshs-ornl/wbstats) - wbstats: An R package for searching and downloading data from the World Bank API
* [ropensci/ckanr](https://github.com/ropensci/ckanr) - R client for the CKAN API
* [dbdahl/rscala](https://github.com/dbdahl/rscala) - The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala.
* [atlanhq/rLandsat](https://github.com/atlanhq/rLandsat) - R Package to make Landsat8 data accessible
* [amrrs/animated_bar_charts_in_R](https://github.com/amrrs/animated_bar_charts_in_R) - Code to demo how to build Animated Bar Charts in R
* [xiaodaigh/disk.frame](https://github.com/xiaodaigh/disk.frame) - Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data
* [tjmahr/WrapRmd](https://github.com/tjmahr/WrapRmd) - RStudio addin for wrapping RMarkdown paragraphs
* [ropensci-archive/monkeylearn](https://github.com/ropensci-archive/monkeylearn) - :no_entry: ARCHIVED :no_entry: :monkey: R package for text analysis with Monkeylearn :monkey:

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