rstanarm v2.15.3

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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.

Functions in rstanarm

Name Description
loo_predict.stanreg Compute weighted expectations using LOO
model.frame.stanreg model.frame method for stanreg objects
adapt_delta Target average acceptance probability
as.matrix.stanreg Extract the posterior sample
formula.stanreg formula method for stanreg objects
get_y Extract X, Y or Z from a stanreg object
pp_check.stanreg Graphical posterior predictive checks
pp_validate Model validation via simulation
pairs.stanreg Pairs method for stanreg objects
plot.stanreg Plot method for stanreg objects
posterior_predict.stanreg Draw from posterior predictive distribution
posterior_vs_prior Juxtapose prior and posterior
print.stanreg Print method for stanreg objects
prior_summary.stanreg Summarize the priors used for an rstanarm model
predict.stanreg Predict method for stanreg objects
predictive_error.stanreg In-sample or out-of-sample predictive errors
model.matrix.stanreg model.matrix method for stanreg objects
neg_binomial_2 Family function for negative binomial GLMs
rstanarm-deprecated Deprecated functions
rstanarm-package Applied Regression Modeling via RStan
priors Prior distributions and options
rstanarm-datasets Datasets for rstanarm examples
stan_polr Bayesian ordinal regression models via Stan
stanreg-methods Methods for stanreg objects
se Extract standard errors
shinystan Using the ShinyStan GUI with rstanarm models
stan_glmer Bayesian generalized linear models with group-specific terms via Stan
stan_aov Bayesian regularized linear models via Stan
stanreg-objects Fitted model objects
summary.stanreg Summary method for stanreg objects
stan_betareg Bayesian beta regression models via Stan
stan_biglm Bayesian regularized linear but big models via Stan
example_model Example model
family.stanreg family method for stanreg objects
stan_gamm4 Bayesian generalized linear additive models with group-specific terms via Stan
stan_glm Bayesian generalized linear models via Stan
terms.stanreg terms method for stanreg objects
log_lik.stanreg Pointwise log-likelihood matrix
loo.stanreg Information criteria and cross-validation
posterior_interval.stanreg Posterior uncertainty intervals
posterior_linpred.stanreg Posterior distribution of the linear predictor
predictive_interval.stanreg Predictive intervals
print.kfold Print method for kfold
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Vignettes of rstanarm

Name
children/SETTINGS-gg.txt
children/SETTINGS-knitr.txt
children/SETTINGS-loo.txt
children/SETTINGS-rstan.txt
children/four_steps.txt
children/stan_glm_priors.txt
aov.Rmd
betareg.Rmd
binomial.Rmd
continuous.Rmd
count.Rmd
glmer.Rmd
lm.Rmd
polr.Rmd
pooling.Rmd
priors.Rmd
rstanarm.Rmd
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Details

Type Package
Date 2017-04-27
License GPL (>= 3)
LinkingTo StanHeaders (>= 2.14.0), rstan (>= 2.14.2), BH (>= 1.62.0), Rcpp (>= 0.12.0), RcppEigen
SystemRequirements pandoc
VignetteBuilder knitr
LazyData true
NeedsCompilation yes
URL https://groups.google.com/forum/#!forum/stan-users, http://mc-stan.org/
BugReports https://github.com/stan-dev/rstanarm/issues
RoxygenNote 5.0.1
Packaged 2017-04-29 06:18:44 UTC; goodrich
Repository CRAN
Date/Publication 2017-04-29 12:58:17 UTC

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