Initialize Beta Latent Class via Fanny

Description

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

Usage

1
blcInitializeSplitFanny(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

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

Value

A function f(x) (see Details.)

See Also

blcInitializeSplitDichotomizeUsingMean, blcInitializeSplitEigen, blcInitializeSplitHClust

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