glcInitializeSplitFanny: Initialize Gaussian Latent Class via Fanny
In RPMM: Recursively Partitioned Mixture Model

Description Usage Arguments Details Value See Also

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

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

`nu`	`memb.exp` parameter in `fanny`
`nufac`	Factor by which to multiply `nu` if an error occurs
`metric`	Metric to use for `fanny`

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.

A function f(x) (see Details.)

glcInitializeSplitEigen, glcInitializeSplitHClust

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