rstanarm (version 2.10.1)

rstanarm-plots: Plots for rstanarm models

Description

Models fit using algorithm='sampling', "meanfield", or "fullrank" are compatible with a variety of plotting functions from the rstan package. Each function returns at least one ggplot object that can be customized further using the ggplot2 package. The plotting functions described here can be called using the plot method for stanreg objects without loading the rstan package. For example usage see plot.stanreg.

Plotting functions

Posterior intervals and point estimates

stan_plot

Traceplots

stan_trace

Histograms

stan_hist

Kernel density estimates

stan_dens

Scatterplots

stan_scat

Diagnostics for Hamiltonian Monte Carlo and the No-U-Turn Sampler

stan_diag

Rhat

stan_rhat

Ratio of effective sample size to total posterior sample size

stan_ess

Ratio of Monte Carlo standard error to posterior standard deviation

stan_mcse

Autocorrelation

stan_ac

See Also

plot.stanreg for how to call the plot method, shinystan for interactive model exploration, pp_check for graphical posterior predicive checking.

Examples

# See examples at help("plot.stanreg", package = "rstanarm")