glcSplitCriterionBICICL: Gaussian RPMM Split Criterion: Use ICL-BIC

In RPMM: Recursively Partitioned Mixture Model

Description

Split criterion function: compare ICL-BICs to determine split (i.e. include entropy term in comparison).

Usage

glcSplitCriterionBICICL(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

bic1	one-class (weighted) BIC
bic2	two-class (weighted) BIC
entropy	two-class entropy
split	TRUE=split the node, FALSE=do not split the node.

See Also

glcSplitCriterionBICICL, glcSplitCriterionJustRecordEverything, glcSplitCriterionLevelWtdBIC, glcSplitCriterionLRT

RPMM documentation built on May 2, 2019, 2:52 p.m.