bayesforecast (version 1.0.1)

mcmc_plot.varstan: MCMC Plots Implemented in bayesplot

Description

Convenient way to call MCMC plotting functions implemented in the bayesplot package.

Usage

# S3 method for varstan
mcmc_plot(
  object,
  pars = NULL,
  combo = c("dens", "trace"),
  fixed = FALSE,
  exact_match = FALSE,
  ...
)
mcmc_plot(object, ...)

Arguments

object

An varstan object.

pars

Names of parameters to be plotted, as given by a character vector or regular expressions. By default, all parameters except for group-level and smooth effects are plotted. May be ignored for some plots.

combo

An array that contains the types of plot. By default combo = c("dens","trace"). Supported types are (as names) hist, dens, hist_by_chain, dens_overlay, violin, intervals, areas, acf, acf_bar,trace, trace_highlight, scatter, rhat, rhat_hist, neff, neff_hist nuts_acceptance, nuts_divergence, nuts_stepsize, nuts_treedepth, and nuts_energy. For an overview on the various plot types see MCMC-overview.

fixed

Indicates whether parameter names should be matched exactly (TRUE) or treated as regular expressions (FALSE). Default is FALSE.

exact_match

Deprecated alias of argument fixed.

...

Additional arguments passed to the plotting functions. See MCMC-overview for more details.

Value

A ggplot object that can be further customized using the ggplot2 package.

Examples

# NOT RUN {
sf1 = stan_ssm(ipc,iter = 500,chains = 1)

# plot posterior intervals
mcmc_plot(sf1)

# only show population-level effects in the plots
mcmc_plot(sf1, pars = "level")
# }
# NOT RUN {
# }