Test_Null_Hypothesis_that_all_modalities_are_same: Test the Null hypothesis that all modalities are same

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

Test null hypothesis that all modalities have same observer performance ablity, using Bayes factor.

Usage

Test_Null_Hypothesis_that_all_modalities_are_same(
  dataList,
  ite = 1111,
  cha = 1,
  summary = FALSE
)

Arguments

dataList	MRMC is the only case in which the function is available for this function.
ite	A variable to be passed to the function rstan::sampling() of rstan in which it is named iter. A positive integer representing the number of samples synthesized by Hamiltonian Monte Carlo method, and, Default = 1111
cha	A variable to be passed to the function rstan::sampling() of rstan in which it is named chains. A positive integer representing the number of chains generated by Hamiltonian Monte Carlo method, and, Default = 1.
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.

Details

From input data (variable: dataList), the two objects of class stanfit are created. one is fitted to the null hypothesis model and the another one representing alternative hypothesis. These two stanfit. objects are compared by the Bayes factor.

Value

none

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