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# projpred [<img src="man/figures/logo.svg" align="right" height="139" alt="Stan Logo"/>](https://mc-stan.org)

The R package **projpred** performs the projection predictive variable
selection for various regression models. Usually, the reference model
will be an [**rstanarm**](https://mc-stan.org/rstanarm/) or
[**brms**](https://paul-buerkner.github.io/brms/) fit, but custom
reference models can also be used. Details on supported model types are
given in section [“Supported types of
models”](https://mc-stan.org/projpred/articles/projpred.html#modtypes)
of the main vignette[^1].

For details on how to cite **projpred**, see the [projpred citation
info](https://CRAN.R-project.org/package=projpred/citation.html) on
CRAN[^2]. Further references (including earlier work that **projpred**
is based on) are given in section
[“Introduction”](https://mc-stan.org/projpred/articles/projpred.html#introduction)
of the main vignette.

The [vignettes](https://mc-stan.org/projpred/articles/)[^3] illustrate
how to use the **projpred** functions in conjunction. Details on the
**projpred** functions as well as some shorter examples may be found in
the
[documentation](https://mc-stan.org/projpred/reference/index.html)[^4].

## Installation

There are two ways for installing **projpred**: from
[CRAN](https://CRAN.R-project.org/package=projpred) or from
[GitHub](https://github.com/stan-dev/projpred). The GitHub version might
be more recent than the CRAN version, but the CRAN version might be more
stable.

### From CRAN

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

### From GitHub

This requires the [**devtools**](https://devtools.r-lib.org/) package,
so if necessary, the following code will also install **devtools** (from
[CRAN](https://CRAN.R-project.org/package=devtools)):

``` r
if (!requireNamespace("devtools", quietly = TRUE)) {
  install.packages("devtools")
}
devtools::install_github("stan-dev/projpred", build_vignettes = TRUE)
```

To save time, you may omit `build_vignettes = TRUE`.

[^1]: The main vignette can be accessed offline by typing
    `vignette(topic = "projpred", package = "projpred")` or—more
    conveniently—`browseVignettes("projpred")` within R.

[^2]: The citation information can be accessed offline by typing
    `print(citation("projpred"), bibtex = TRUE)` within R.

[^3]: The overview of all vignettes can be accessed offline by typing
    `browseVignettes("projpred")` within R.

[^4]: The documentation can be accessed offline using `?` or `help()`
    within R.
