trace_Plot: Trace plot

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

Trace plot

Usage

trace_Plot(
  StanS4class,
  param_name = name_of_param_whose_Rhat_is_maximal(StanS4class),
  chains = 1:length(StanS4class@stan_args),
  type = 2,
  new.imaging.device = TRUE,
  omit_initial_iter = 13
)

Arguments

StanS4class	An S4 object of class stanfitExtended which is an inherited class from the S4 class stanfit. This R object is a fitted model object as a return value of the function fit_Bayesian_FROC(). To be passed to DrawCurves() ... etc
param_name	character, indicating param name.
chains	A positive integer, indicating the number of chains in MCMC
type	An integer, for the color of background and etc.
new.imaging.device	Logical: TRUE of FALSE. If TRUE (default), then open a new device to draw curve. Using this we can draw curves in same plain by new.imaging.device=FALSE.
omit_initial_iter	A positive integer, except which from the first iteration, trace plot is drawn

BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.