rstanarm: Bayesian Applied Regression Modeling via Stan

Estimates pre-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.

Version: 2.9.0-3
Depends: R (≥ 3.2.0), Rcpp (≥ 0.11.0), methods
Imports: ggplot2 (≥ 2.0.0), lme4 (≥ 1.1-8), loo (≥ 0.1.4), Matrix, nlme (≥ 3.1-124), rstan (≥ 2.9.0-3), shinystan (≥ 2.1.0), stats, utils
LinkingTo: StanHeaders (≥ 2.9.0), rstan (≥ 2.9.0-3), BH (≥ 1.58.0), Rcpp (≥ 0.11.0), RcppEigen
Suggests: arm, gamm4, gridExtra, HSAUR3, KernSmooth, knitr, MASS, rmarkdown, testthat
Published: 2016-02-13
Author: Jonah Gabry [aut], Trustees of Columbia University [cph], R Core Deveopment Team [cph] (R/pp_data.R, 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), Ben Goodrich [cre, aut]
Maintainer: Ben Goodrich <benjamin.goodrich at columbia.edu>
BugReports: https://github.com/stan-dev/rstanarm/issues
License: GPL (≥ 3)
URL: https://groups.google.com/forum/#!forum/stan-users, http://mc-stan.org/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: rstanarm results

Downloads:

Reference manual: rstanarm.pdf
Vignettes: stan_aov: ANOVA Models
stan_glm: GLMs for Binary and Binomial Data
stan_glm: GLMs for Continuous Data
stan_glm: GLMs for Count Data
stan_glmer: GLMs with Group-Specific Terms
stan_lm: Regularized Linear Models
stan_polr: Ordinal Models
Hierarchical Partial Pooling
How to Use the rstanarm Package
Package source: rstanarm_2.9.0-3.tar.gz
Windows binaries: r-devel: rstanarm_2.9.0-3.zip, r-release: rstanarm_2.9.0-3.zip, r-oldrel: rstanarm_2.9.0-1.zip
OS X Snow Leopard binaries: r-release: rstanarm_2.9.0-3.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: rstanarm_2.9.0-3.tgz
Old sources: rstanarm archive