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.

Maintainer: Ben Goodrich <benjamin.goodrich at columbia.edu>

Author(s): Jonah Gabry*, Trustees of Columbia University*, R Core Deveopment Team* (R/stan_aov.R), Douglas Bates* (R/pp_data.R), Martin Maechler* (R/pp_data.R), Ben Bolker* (R/pp_data.R), Steve Walker* (R/pp_data.R), Brian Ripley* (R/stan_aov.R, R/stan_polr.R), William Venables* (R/stan_polr.R), Ben Goodrich*

Install package and any missing dependencies by running this line in your R console:

install.packages("rstanarm")

Depends R (>= 3.0.2), Rcpp(>=0.12.0), methods
Imports bayesplot(>=1.1.0), ggplot2(>=2.2.0), lme4(>=1.1-8), loo(>=1.0.0), Matrix, nlme(>=3.1-124), rstan(>=2.14.1), rstantools(>=1.1.0), shinystan(>=2.2.1), stats, utils
Suggests arm, betareg, digest, gridExtra, HSAUR3, KernSmooth, knitr(>=1.15.1), MASS, mgcv, rmarkdown, roxygen2, testthat(>=1.0.2)
Enhances
Linking to StanHeaders(>=2.14.0), rstan(>=2.14.1), BH(>=1.62.0), Rcpp(>=0.12.0), RcppEigen
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depends
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imports
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suggests
bayesplot, broom, merTools, rstan, rstantools, shinystan
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linking to

Package rstanarm
Materials
URL https://groups.google.com/forum/#!forum/stan-users http://mc-stan.org/
Task Views
Version 2.14.1
Published 2017-01-17
License GPL (>= 3)
BugReports https://github.com/stan-dev/rstanarm/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks rstanarm check results
Package source rstanarm_2.14.1.tar.gz