RPMM (version 1.20)

glcInitializeSplitFanny: Initialize Gaussian Latent Class via Fanny

Description

Creates a function for initializing latent class model using the fanny algorithm

Usage

glcInitializeSplitFanny(nu = 2, nufac = 0.875, metric = "euclidean")

Arguments

nu

memb.exp parameter in fanny

nufac

Factor by which to multiply nu if an error occurs

metric

Metric to use for fanny

Value

A function f(x) (see Details.)

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, the “fanny” algorithm will be used. See glcTree for example of using “glcInitializeSplit...” to create starting values.

See Also

glcInitializeSplitEigen, glcInitializeSplitHClust