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🔮 Benchmarking and visualization toolkit for penalized Cox models

hdnom 최신버젼 다운로드

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# hdnom <img src="man/figures/logo.png" align="right" width="120" />

[![R-CMD-check](https://github.com/nanxstats/hdnom/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/nanxstats/hdnom/actions/workflows/R-CMD-check.yaml)
[![CRAN
Version](https://www.r-pkg.org/badges/version/hdnom)](https://cran.r-project.org/package=hdnom)
[![Downloads from the RStudio CRAN
mirror](https://cranlogs.r-pkg.org/badges/hdnom)](https://cranlogs.r-pkg.org/badges/hdnom)

`hdnom` creates nomogram visualizations for penalized Cox regression
models, with the support of reproducible survival model building,
validation, calibration, and comparison for high-dimensional data.

## Installation

You can install `hdnom` from CRAN:

``` r
install.packages("hdnom")
```

Or try the development version on GitHub:

``` r
remotes::install_github("nanxstats/hdnom")
```

Browse [the vignettes](https://nanx.me/hdnom/articles/) to get started.

## Gallery

### Nomogram

### Kaplan-Meier plot with number at risk table

### Model validation and calibration

### Model comparison by validation or calibration

## Shiny app

- Shiny app: <https://github.com/nanxstats/hdnom-app>
- Shiny app maker: <https://github.com/nanxstats/hdnom-appmaker>

## Contribute

To contribute to this project, please take a look at the [Contributing
Guidelines](https://nanx.me/hdnom/CONTRIBUTING.html) first. Please note
that the hdnom project is released with a [Contributor Code of
Conduct](https://nanx.me/hdnom/CODE_OF_CONDUCT.html). By contributing to
this project, you agree to abide by its terms.

hdnom

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