cutTree: Cut a Factor Merger Tree

In factorMerger: The Merging Path Plot

Description

Splits factor levels into non-overlapping clusters based on a factorMerger object. If a stat is "loglikelihood" or "p-value" then performs bottom-up search through models on the merging path until spots a model scored worse than the given threshold (value). If stat = "GIC", value is interpreted as GIC penalty and optimal GIC model is returned..

Usage

cutTree(factorMerger, stat = "GIC", value = 2)

Arguments

factorMerger	object of a class factorMerger
stat	statistic used in the bottom-up search. Available statistics are: "loglikelihood", "p-value", "GIC".
value	cut threshold or penalty (for GIC)

Details

By default, cutree returns factor partition corresponding to the optimal GIC model (with the lowest GIC).

Value

Returns a factor vector - each observation is given a new cluster label.

factorMerger documentation built on July 4, 2019, 1:02 a.m.