glcSplitCriterionLRT {RPMM}

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