rstanarm: Bayesian Applied Regression Modeling via Stan

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.

Package overview Estimating ANOVA Models with rstanarm Estimating Generalized Linear Models for Binary and Binomial Data with rstanarm Estimating Generalized Linear Models for Continuous Data with rstanarm Estimating Generalized Linear Models for Count Data with rstanarm Estimating Generalized (Non-)Linear Models with Group-Specific Terms with rstanarm Estimating Joint Models for Longitudinal and Time-to-Event Data with rstanarm Estimating Ordinal Regression Models with rstanarm Estimating Regularized Linear Models with rstanarm Hierarchical Partial Pooling for Repeated Binary Trials How to Use the rstanarm Package Modeling Rates/Proportions using Beta Regression with rstanarm MRP with rstanarm Prior Distributions for rstanarm Models Probabilistic A/B Testing with rstanarm

Vignettes Man pages API and functions Files

Package details
Author	Jonah Gabry [aut], Imad Ali [ctb], Sam Brilleman [ctb], Jacqueline Buros Novik [ctb] (R/stan_jm.R), AstraZeneca [ctb] (R/stan_jm.R), Trustees of Columbia University [cph], Simon Wood [cph] (R/stan_gamm4.R), R Core Deveopment Team [cph] (R/stan_aov.R), Douglas Bates [cph] (R/pp_data.R), Martin Maechler [cph] (R/pp_data.R), Ben Bolker [cph] (R/pp_data.R), Steve Walker [cph] (R/pp_data.R), Brian Ripley [cph] (R/stan_aov.R, R/stan_polr.R), William Venables [cph] (R/stan_polr.R), Paul-Christian Burkner [cph] (R/misc.R), Ben Goodrich [cre, aut]
Maintainer	Ben Goodrich <benjamin.goodrich@columbia.edu>
License	GPL (>= 3)
Version	2.26.1
URL	https://mc-stan.org/rstanarm/ https://discourse.mc-stan.org
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("rstanarm")`