Visually compare normality and autocorrelation of bootstrap and MCMC parameter estimates

Function allowing for visual comparison of the parameter estimates from bootstrapping vs MCMC simulation. Shows density for ten representative parameters from bootstrapping and MCMC walk, the distributions of Shapiro-Walk p-values for bootstrapping vs MCMC walks, and the density of autocorrelation results for bootstrapping vs MCMC walks.

Usage

plot.MCMC.bs.comparison(wisp.results, print.plots = TRUE, verbose = TRUE)

Arguments

wisp.results

List, output of the wisp function.

print.plots

Logical, if TRUE, prints the plots to the current graphics device.

verbose

Logical, if TRUE, prints information during plotting.

Value

List of ggplot objects containing plots of representative parameter distributions, Shapiro-Wilk normality test results, and autocorrelation plots for bootstrap and MCMC parameter estimates.