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rstanarm (version 2.15.3)

Bayesian Applied Regression Modeling via Stan

Description

Estimates previously 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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Version

Install

install.packages('rstanarm')

Monthly Downloads

15,417

Version

2.15.3

License

GPL (>= 3)

Homepage

https://groups.google.com/forum/#!forum/stan-users

Maintainer

Ben Goodrich

Last Published

April 29th, 2017

Functions in rstanarm (2.15.3)

loo_predict.stanreg

Compute weighted expectations using LOO

model.frame.stanreg

model.frame method for stanreg objects

Target average acceptance probability

as.matrix.stanreg

Extract the posterior sample

formula.stanreg

formula method for stanreg objects

Extract X, Y or Z from a stanreg object

pp_check.stanreg

Graphical posterior predictive checks

Model validation via simulation

Pairs method for stanreg objects

Plot method for stanreg objects

posterior_predict.stanreg

Draw from posterior predictive distribution

posterior_vs_prior

Juxtapose prior and posterior

Print method for stanreg objects

prior_summary.stanreg

Summarize the priors used for an rstanarm model

predict.stanreg

Predict method for stanreg objects

predictive_error.stanreg

In-sample or out-of-sample predictive errors

model.matrix.stanreg

model.matrix method for stanreg objects

Family function for negative binomial GLMs

rstanarm-deprecated

Deprecated functions

rstanarm-package

Applied Regression Modeling via RStan

Prior distributions and options

rstanarm-datasets

Datasets for rstanarm examples

Bayesian ordinal regression models via Stan

stanreg-methods

Methods for stanreg objects

Extract standard errors

Using the ShinyStan GUI with rstanarm models

Bayesian generalized linear models with group-specific terms via Stan

Bayesian regularized linear models via Stan

stanreg-objects

Fitted model objects

summary.stanreg

Summary method for stanreg objects

Bayesian beta regression models via Stan

Bayesian regularized linear but big models via Stan

family method for stanreg objects

Bayesian generalized linear additive models with group-specific terms via Stan

Bayesian generalized linear models via Stan

terms method for stanreg objects

log_lik.stanreg

Pointwise log-likelihood matrix

Information criteria and cross-validation

posterior_interval.stanreg

Posterior uncertainty intervals

posterior_linpred.stanreg

Posterior distribution of the linear predictor

predictive_interval.stanreg

Predictive intervals

Print method for kfold