mmain: Title

In multimix: Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm

Title

Description

Title

Usage

mmain(D, Z, P, eps = 1e-09)

Arguments

D	an object of class multimixSettings - see data_organise for full description.
Z	a matrix
P	a matrix
eps	Minimum increase in loglikelihood per EM step. If this is not exceeded the the algorithm will terminate.

Value

an object of class multimix results which is a a list containing four elements: the multmixSettings object D, the Z matrix, the P matrix, and a results matrix, called results, with n rows and numClusters columns.

Author(s)

Murray Jorgensen

Examples

data(cancer.df)
D <- data_organise(cancer.df, numClusters = 2)
stage <- scan(system.file('extdata', 'Stage.txt', package = 'multimix')) - 2
Z <- make_Z_discrete(stage)
P <- initParamList(D,Z) 
zpr <- mmain(D,Z,P)
zpr

multimix documentation built on Jan. 22, 2023, 1:13 a.m.