Bayesian Applied Regression Modeling via Stan R package rstanarm version 2.32.2 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) 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. Software Depends: R (>= 3.4.0), Rcpp (>= 0.12.0), methods Imports: bayesplot (>= 1.7.0), ggplot2 (>= 2.2.1), lme4 (>= 1.1-8), loo (>= 2.1.0), Matrix (>= 1.2-13), nlme (>= 3.1-124), posterior, rstan (>= 2.32.0), rstantools (>= 2.1.0), shinystan (>= 2.3.0), stats, survival (>= 2.40.1), RcppParallel (>= 5.0.1), utils, reformulas LinkingTo: StanHeaders (>= 2.32.0), rstan (>= 2.32.0), BH (>= 1.72.0-2), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1) Suggests: biglm, betareg, data.table (>= 1.10.0), digest, gridExtra, HSAUR3, knitr (>= 1.15.1), MASS, mgcv (>= 1.8-13), rmarkdown, roxygen2, StanHeaders (>= 2.21.0), testthat (>= 1.0.2), gamm4, shiny, V8 Ben Goodrich <benjamin.goodrich@columbia.edu> Comprehensive R Archive Network (CRAN) 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] GPL (>= 3) 2025-09-30 application/tgz https://CRAN.R-project.org/package=rstanarm doi:10.32614/CRAN.package.rstanarm