mstep1: First M-step of the AECM algorithm when fitting a mixture of...
In MetabolAnalyze: Probabilistic Latent Variable Models for Metabolomic Data

Description Usage Arguments Details Value Note Author(s) References See Also

Internal function required for fitting a mixture of PPCA models.

1	mstep1(Y, Tau, Pi, mu, g)

`Y`	A N x p data matrix.
`Tau`	An N x G matrix of posterior group membership probabilities.
`Pi`	A g vector of group probabilities.
`mu`	A p x g matrix containing the mean for each group.
`g`	The number of groups currently being fitted.

First M-step of the AECM algorithm when fitting a mixture of PPCA models. An internal function.

A list containing

`Pi`	A g vector of group probabilities
`Mu`	A p x g matrix each column of which contains a group mean.

An internal function.

Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan

Nyamundanda, G., Gormley, I.C. and Brennan, L. (2010) Probabilistic principal components analysis for metabolomic data. Technical report. University College Dublin, Ireland.

mppca.metabol

MetabolAnalyze documentation built on Aug. 31, 2019, 5:05 p.m.