glcSplitCriterionLRT {RPMM}R Documentation

Gaussian RPMM Split Criterion: Use likelihood ratio test p value

Description

Split criterion function: use likelihood ratio test p value to determine split.

Usage

glcSplitCriterionLRT(llike1, llike2, weight, ww, J, level)

Arguments

llike1 one-class likelihood.
llike2 two-class likelihood.
weight weights from RPMM node.
ww “ww” from RPMM node.
J Number of items.
level Node level.

Details

This is a function of the form “glcSplitCriterion...”, which is required to return a list with at least a boolean value split, along with supporting information. See glcTree for example of using “glcSplitCriterion...” to control split.

Value

llike1 Just returns llike1
llike2 Just returns llike2
J Just returns J
weight Just returns weight
degFreedom Degrees-of-freedom for LRT
chiSquareStat Chi-square statistic
split TRUE=split the node, FALSE=do not split the node.

See Also

glcSplitCriterionBIC, glcSplitCriterionBICICL, glcSplitCriterionJustRecordEverything, glcSplitCriterionLevelWtdBIC


[Package RPMM version 1.05 Index]