glcInitializeSplitHClust: Initialize Gaussian Latent Class via Hierarchical Clustering
In RPMM: Recursively Partitioned Mixture Model

Description Usage Arguments Details Value See Also

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

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

`metric`	Dissimilarity metric used for hierarchical clustering
`method`	Linkage method used for hierarchical clustering

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 glcTree for example of using “glcInitializeSplit...” to create starting values.

A function f(x) (see Details.)

glcInitializeSplitEigen, glcInitializeSplitFanny

RPMM documentation built on May 2, 2019, 2:52 p.m.