glcSplitCriterionBIC: Gaussian RPMM Split Criterion: Use BIC

Description Usage Arguments Details Value See Also

View source: R/gaussRPMM.R

Description

Split criterion function: compare BICs to determine split.

Usage

1
glcSplitCriterionBIC(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

split

TRUE=split the node, FALSE=do not split the node.

See Also

glcSplitCriterionBIC, glcSplitCriterionJustRecordEverything, glcSplitCriterionLevelWtdBIC, glcSplitCriterionLRT


RPMM documentation built on May 30, 2017, 6:26 a.m.

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