rstanarm v2.13.1

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by Ben Goodrich

Bayesian Applied Regression Modeling via Stan

Estimates pre-compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.

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rstanarm

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This is an R package that emulates other R model-fitting functions but uses Stan (via the rstan package) for the back-end estimation. The primary target audience is people who would be open to Bayesian inference if using Bayesian software were easier but would use frequentist software otherwise.

Installation

Latest Release

The most recent rstanarm release can be installed from CRAN via

install.packages("rstanarm")

Development Version

To install from GitHub, first make sure that you can install the rstan package and C++ toolchain by following these instructions. Once rstan is successfully installed, you can install rstanarm from GitHub using the devtools package by executing the following in R:

if (!require(devtools)) {
  install.packages("devtools")
  library(devtools)
}
install_github("stan-dev/rstanarm", args = "--preclean", local = FALSE, build_vignettes = TRUE)

Make sure to include the args = "--preclean" argument or the development version of package will not install properly. If installation fails, please let us know by filing an issue.

Getting help

Contributing

If you are interested in contributing to the development of rstanarm please see the Contributing to development page of the wiki.

Functions in rstanarm

Name Description
model.matrix.stanreg model.matrix method for stanreg objects
rstanarm-package Applied Regression Modeling via RStan
se Extract standard errors
predict.stanreg Predict method for stanreg objects
neg_binomial_2 Family function for negative binomial GLMs
pp_validate Model validation via simulation
print.kfold Print method for kfold
print.stanreg Print method for stanreg objects
stan_gamm4 Bayesian generalized linear additive models with group-specific terms via Stan
stan_glm Bayesian generalized linear models via Stan
adapt_delta Target average acceptance probability
example_model Example model
shinystan Using the ShinyStan GUI with rstanarm models
stan_biglm Bayesian regularized linear but big models via Stan
terms.stanreg terms method for stanreg objects
posterior_predict.stanreg Draw from posterior predictive distribution
pp_check.stanreg Graphical posterior predictive checks
loo.stanreg Leave-one-out (LOO) and K-fold cross-validation
model.frame.stanreg model.frame method for stanreg objects
prior_summary.stanreg Extract and/or print a summary of the priors used for an rstanarm model
priors Prior distributions and options
stan_polr Bayesian ordinal regression models via Stan
get_y Extract X, Y or Z from a stanreg object
log_lik.stanreg Pointwise log-likelihood matrix
family.stanreg family method for stanreg objects
formula.stanreg formula method for stanreg objects
stan_glmer Bayesian generalized linear models with group-specific terms via Stan
stan_aov Bayesian regularized linear models via Stan
pairs.stanreg Pairs method for stanreg objects
posterior_linpred Posterior distribution of the linear predictor
stanreg-objects Fitted model objects
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