blcInitializeSplitHClust: Initialize Beta Latent Class via Hierarchical Clustering

Description Usage Arguments Details Value See Also

View source: R/betaRPMM.R

Description

Creates a function for initializing latent class model using hierarchical clustering.

Usage

1
blcInitializeSplitHClust(metric = "manhattan", method = "ward")

Arguments

metric

Dissimilarity metric used for hierarchical clustering

method

Linkage method used for hierarchical clustering

Details

Creates a function f(x) that will take a data matrix x and initialize a weight matrix for a two-class latent class model. Here, a two-branch split from hierarchical clustering will be used. See blcTree for example of using “blcSplitCriterion...” to control split.

Value

A function f(x) (see Details.)

See Also

blcInitializeSplitDichotomizeUsingMean, blcInitializeSplitEigen, blcInitializeSplitFanny


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

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