jbplot_PPC: jrplot_PPC

In jabbamodel/JABBA: Just Another Bayesian Biomass Assessment

jrplot_PPC

Description

Plots Posterior Predictive Checks for Chisq Goodness-of-Fit (Omnibus Discrepancy)

Usage

jbplot_PPC(
  jabba,
  joint.ppc = FALSE,
  thin.plot = TRUE,
  output.dir = getwd(),
  as.png = FALSE,
  single.plots = add,
  width = NULL,
  height = NULL,
  ylab = expression(paste("Predicted D(", chi^2, ")")),
  xlab = expression(paste("Realized D(", chi^2, ")")),
  plot.cex = 0.8,
  index = NULL,
  index.label = TRUE,
  add = FALSE,
  verbose = TRUE
)

Arguments

jabba	output list from fit_jabba
joint.ppc	FALSE/TRUE, if TRUE a joint Posterior Predictive Check (indices combined) is plotted
thin.plot	TRUE/FALSE thinning option for plotting
output.dir	directory to save plots
as.png	save as png file of TRUE
single.plots	if TRUE plot invidual fits else make multiplot
width	plot width
height	plot hight
ylab	option to change y-axis label
xlab	option to change x-axis label
plot.cex	graphic option
index.label	show index name in plot
add	if TRUE par is not called to enable manual multiplots
verbose	commentary
indices	names of indices to plot (default = "all")

Value

Bayesin p values and n observation per index

jabbamodel/JABBA documentation built on Nov. 2, 2024, 12:50 p.m.