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rstanarm (version 2.21.1)

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

11,880

Version

2.21.1

License

GPL (>= 3)

Homepage

https://mc-stan.org/rstanarm/

Maintainer

Last Published

July 20th, 2020

Functions in rstanarm (2.21.1)

Example joint longitudinal and time-to-event model

available-models

Modeling functions available in rstanarm

K-fold cross-validation

bayes_R2.stanreg

Compute a Bayesian version of R-squared or LOO-adjusted R-squared for regression models.

formula.stanreg

formula method for stanreg objects

Extract X, Y or Z from a stanreg object

family.stanmvreg

family method for stanmvreg objects

launch_shinystan.stanreg

Using the ShinyStan GUI with rstanarm models

Family function for negative binomial GLMs

model.matrix.stanreg

model.matrix method for stanreg objects

family method for stanreg objects

as.matrix.stanreg

Extract the posterior sample

Information criteria and cross-validation

available-algorithms

Estimation algorithms available for rstanarm models

model.frame.stanmvreg

model.frame method for stanmvreg objects

adapt_delta: Target average acceptance probability

The QR argument

posterior_interval.stanreg

Posterior uncertainty intervals

posterior_linpred.stanreg

Posterior distribution of the (possibly transformed) linear predictor

posterior_predict.stanreg

Draw from posterior predictive distribution

loo_predict.stanreg

Compute weighted expectations using LOO

model.frame.stanreg

model.frame method for stanreg objects

Plot method for stanreg objects

plot.survfit.stanjm

Plot the estimated subject-specific or marginal survival function

posterior_survfit

Estimate subject-specific or standardised survival probabilities

pp_check.stanreg

Graphical posterior predictive checks

posterior_vs_prior

Juxtapose prior and posterior

Estimate the subject-specific or marginal longitudinal trajectory

log_lik.stanreg

Pointwise log-likelihood matrix

Pairs method for stanreg objects

Logit and inverse logit

plot.predict.stanjm

Plot the estimated subject-specific or marginal longitudinal trajectory

prior_summary.stanreg

Summarize the priors used for an rstanarm model

print.survfit.stanjm

Generic print method for survfit.stanjm objects

Model validation via simulation

predictive_error.stanreg

In-sample or out-of-sample predictive errors

predict.stanreg

Predict method for stanreg objects

Graphical checks of the estimated survival function

Conditional logistic (clogit) regression models via Stan

Prior distributions and options

Bayesian regularized linear but big models via Stan

Objects exported from other packages

rstanarm-datasets

Datasets for rstanarm examples

predictive_interval.stanreg

Predictive intervals

Print method for stanreg objects

Bayesian beta regression models via Stan

Extract standard errors

rstanarm-deprecated

Deprecated functions

rstanarm-package

Applied Regression Modeling via RStan

Bayesian generalized linear models with group-specific terms via Stan

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

Methods for stanreg objects

stanmvreg-methods

Methods for stanmvreg objects

Bayesian nonlinear models with group-specific terms via Stan

Bayesian ordinal regression models via Stan

terms method for stanreg objects

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

stanreg-objects

Fitted model objects

Bayesian generalized linear models via Stan

Create lists of fitted model objects, combine them, or append new models to existing lists of models.

Bayesian regularized linear models via Stan

summary.stanreg

Summary method for stanreg objects

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

terms.stanmvreg

terms method for stanmvreg objects