plot_dataset_of_ppp_MRMC: plot datasets using calculation of ppp

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

plot datasets using calculation of ppp

Usage

plot_dataset_of_ppp_MRMC(StanS4class, summary = FALSE)

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
summary	Logical: TRUE of FALSE. Whether to print the verbose summary. If TRUE then verbose summary is printed in the R console. If FALSE, the output is minimal. I regret, this variable name should be verbose.

Value

p value whose null hypothesis is that model is fitted to data well.

Examples

## Not run: 
#========================================================================================
#                              Now single reader and single modality case only
#========================================================================================
# Fit a model to data-set "dd"
# In the resulting object contained samples from posterior predictive distribution (PPD)

f <- fit_Bayesian_FROC( ite  = 1111, summary = TRUE,  cha = 1, dataList = dd )


# Plot samples synthesized from posterior predictive distribution (PPD)

plot_dataset_of_ppp_MRMC(f)


## End(Not run)#dontrun

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