glcSplitCriterionLRT: Gaussian RPMM Split Criterion: Use likelihood ratio test p...
In RPMM: Recursively Partitioned Mixture Model

Description Usage Arguments Details Value See Also

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

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

`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.

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.

`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.