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 = FALSE,
verbose = TRUE,
ran.seed = 1234
)
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.
- ran.seed
Integer, random seed for reproducibility. Defaults to 1234. If NULL, no seed set.
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.