diagn_plot: Plot convergence of best/median/mean/other summary log...

In FBMS: Flexible Bayesian Model Selection and Model Averaging

Plot convergence of best/median/mean/other summary log posteriors in time

Description

Plot convergence of best/median/mean/other summary log posteriors in time

Usage

diagn_plot(
  res,
  FUN = median,
  conf = 0.95,
  burnin = 0,
  window = 5,
  ylim = NULL,
  ...
)

Arguments

res	Object corresponding gmjmcmc output
FUN	The summary statistics to check convergence
conf	Which confidence intervals to plot
burnin	How many first populations to skip
window	Sliding window for computing the standard deviation
ylim	Limits for the plotting range; if unspecified, min and max of confidence intervals will be used
...	Additional graphical parameters passed to plot and lines functions, e.g. col, lwd, lty, main, xlab, ylab, ylim

Value

A list of summary statistics for checking convergence with given confidence intervals

Examples

result <- gmjmcmc(y = matrix(rnorm(100), 100),
                  x = matrix(rnorm(600), 100), 
                  P = 2, 
                  transforms =  c("p0", "exp_dbl"))
diagnstats <- diagn_plot(result)

FBMS documentation built on Sept. 13, 2025, 1:09 a.m.