# gptoolsStan [![gptoolsStan R package](https://github.com/onnela-lab/gptoolsStan/actions/workflows/main.yml/badge.svg)](https://github.com/onnela-lab/gptoolsStan/actions/workflows/main.yml) [![CRAN/METACRAN Version](https://img.shields.io/cran/v/gptoolsStan)](https://cran.r-project.org/package=gptoolsStan) `gptoolsStan` is a minimal package to publish Stan code for efficient Gaussian process inference. The package can be used with the [`cmdstanr`](https://mc-stan.org/cmdstanr/) interface for Stan in R. ## Getting Started 1. Install `cmdstanr` if you haven't already (see [here](https://mc-stan.org/cmdstanr/#installation) for details). 2. Install this package by running `install.packages("gptoolsStan")`. 3. Compile your first model. ```r library(cmdstanr) library(gptoolsStan) model <- cmdstan_model( stan_file="path/to/your/model.stan", include_paths=gptools_include_path(), ) ``` For an end-to-end example, see [this vignette](vignettes/getting_started.Rmd). More comprehensive [documentation](http://gptools-stan.readthedocs.io/), including many examples, is available although using the [`cmdstanpy`](https://mc-stan.org/cmdstanpy/) interface for Python.