init.random: Method to initialize EM parameters. Purely standard normal...

In emax.glm: General Tools for Building GLM Expectation-Maximization Models

Description

Method to initialize EM parameters. Purely standard normal noise.

Usage

init.random(x, K, noise = 1)

Arguments

x	An n-by-p design matrix.
K	Number of EM classes to be fit.
noise	Standard deviation of the white noise to be applied when generating random initial states.

Value

A K-length list, each holding parameters.

Examples

x <- model.matrix(~ 1 + factor(wool) + factor(tension), data = warpbreaks)

init.random(x = x, K = 2)

emax.glm documentation built on July 4, 2019, 5:04 p.m.