blcSplitCriterionLevelWtdBIC: Beta RPMM Split Criterion: Level-Weighted BIC
In RPMM: Recursively Partitioned Mixture Model

Description Usage Arguments Details Value See Also

Split criterion function: use a level-weighted version of BIC to determine split; there is an additional penalty incorporated for deep recursion.

1	blcSplitCriterionLevelWtdBIC(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 blcTree for example of using “blcSplitCriterion...” to control split.

`bic1`	One-class BIC, with additional penalty for deeper levels
`bic2`	Two-class BIC, with additional penalty for deeper levels
`split`	`TRUE`=split the node, `FALSE`=do not split the node.