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clustMD (version 1.0)

Model based clustering for mixed data.

Description

Model-based clustering of mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent Gaussian variable models.

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Version

Install

install.packages('clustMD')

Monthly Downloads

290

Version

1.0

License

GPL-2

Maintainer

Damien McParland

Last Published

June 12th, 2014

Functions in clustMD (1.0)

z.nom.diag

Transforms Monte Carlo simulated data into categorical data. Calculates empirical moments of latent data given categorical responses.
npars_clustMD

Calculates the number of free parameters for the clustMD model.
Byar

Byar prostate cancer data set.
M.step

M-step of the (MC)EM algorithm.
clustMD-package

Model based clustering for mixed data
clustMD

Model-Based Clustering for Mixed Data
ObsLogLikelihood

Approximates the observed log likelihood.
z.moments

Calculates the first and second moments of the latent data.
perc.cutoffs

Calculates the threshold parameters for ordinal variables.
E.step

E-step of the (MC)EM algorithm.