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rstanarm (version 2.17.2)

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

13,266

Version

2.17.2

License

GPL (>= 3)

Homepage

http://discourse.mc-stan.org

Maintainer

Last Published

December 21st, 2017

Functions in rstanarm (2.17.2)

Target average acceptance probability

as.matrix.stanreg

Extract the posterior sample

family.stanmvreg

family method for stanmvreg objects

Extract X, Y or Z from a stanreg object

launch_shinystan.stanreg

Using the ShinyStan GUI with rstanarm models

family method for stanreg objects

formula.stanreg

formula method for stanreg objects

bayes_R2.stanreg

Compute a Bayesian version of R-squared for regression models

Example joint longitudinal and time-to-event model

model.frame.stanreg

model.frame method for stanreg objects

model.matrix.stanreg

model.matrix method for stanreg objects

Family function for negative binomial GLMs

Pairs method for stanreg objects

loo_predict.stanreg

Compute weighted expectations using LOO

model.frame.stanmvreg

model.frame method for stanmvreg objects

posterior_linpred.stanreg

Posterior distribution of the linear predictor

posterior_predict.stanreg

Draw from posterior predictive distribution

log_lik.stanreg

Pointwise log-likelihood matrix

Information criteria and cross-validation

posterior_vs_prior

Juxtapose prior and posterior

pp_check.stanreg

Graphical posterior predictive checks

plot.predict.stanjm

Plot the estimated subject-specific or marginal longitudinal trajectory

Plot method for stanreg objects

Model validation via simulation

predict.stanreg

Predict method for stanreg objects

Print method for kfold

Print method for stanreg objects

rstanarm-deprecated

Deprecated functions

predictive_error.stanreg

In-sample or out-of-sample predictive errors

predictive_interval.stanreg

Predictive intervals

Extract standard errors

Bayesian beta regression models via Stan

plot.survfit.stanjm

Plot the estimated subject-specific or marginal survival function

posterior_interval.stanreg

Posterior uncertainty intervals

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

rstanarm-package

Applied Regression Modeling via RStan

terms.stanmvreg

terms method for stanmvreg objects

terms method for stanreg objects

Objects exported from other packages

rstanarm-datasets

Datasets for rstanarm examples

Bayesian generalized linear models with group-specific terms via Stan

Bayesian generalized linear models via Stan

Bayesian nonlinear models with group-specific terms via Stan

Bayesian ordinal regression models via Stan

print.survfit.stanjm

Generic print method for survfit.stanjm objects

prior_summary.stanreg

Summarize the priors used for an rstanarm model

Bayesian regularized linear models via Stan

Estimate the subject-specific or marginal longitudinal trajectory

Prior distributions and options

Graphical checks of the estimated survival function

Bayesian regularized linear but big models via Stan

Conditional logistic (clogit) models via Stan

stanmvreg-methods

Methods for stanmvreg objects

Bayesian joint longitudinal and time-to-event models via Stan

stanreg-objects

Fitted model objects

summary.stanreg

Summary method for stanreg objects

posterior_survfit

Estimate subject-specific or standardised survival probabilities

stanreg-methods

Methods for stanreg objects

Bayesian multivariate generalized linear models with correlated group-specific terms via Stan