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rLPJGUESS
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A R package that wraps the LPJ-GUESS model
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[](http://www.repostatus.org/#active) [](https://travis-ci.org/biometry/rLPJGUESS) # rLPJGUESS A R package that wraps the [LPJ-GUESS model](http://iis4.nateko.lu.se/lpj-guess/) ### Recommended installation Install the latest stable release from https://github.com/biometry/rLPJGUESS/releases. You can download the binary and install it as follows ```{r} install.packages("/path/to/binary/rLPJGUESS_1.1.0.tar.gz", repos = NULL, type = "source") ``` Or you can install it directly from the download link ```{r} library(devtools) install_url("https://github.com/biometry/rLPJGUESS/releases/download/v1.1.0/rLPJGUESS_1.1.0.tar.gz", dependencies = T, build_vignettes = T) library(rLPJGUESS) ?rLPJGUESS ``` **Note**: rLPJGUESS relies on two packages for parallelization: - snow (for SOCK cluster, if you use PC/laptop) - Rmpi (for MPI clusters) Installing "Rmpi" might be complicated, and it is not strictly required: If you are thinking of using rLPJGUESS on a laptop or workstation, you will be dealing with SOCK clusters and you do not need Rmpi. ### Development release If you want to install the current (development) version from this repository, run ```{r} devtools::install_github(repo = "biometry/rLPJGUESS", subdir = "rLPJGUESS", dependencies = T, build_vignettes = T) ``` Below the status of the automatic Travis CI tests on the master branch [](https://travis-ci.org/biometry/rLPJGUESS) ### Build the package yourself Clone the package to your computer, and build with hand or Rstudio. If you need help see here http://biometry.github.io/APES/R/R70-PackageDevelopment.html In Rstudio, the vignette may not be built per default. You will turn this on in your project options, or run ```{r} devtools::build_vignettes("rLPJGUESS") ```