First M-step of the AECM algorithm when fitting a mixture of PPCA models.
First M-step of the AECM algorithm when fitting a mixture of PPCA models.
Internal function required for fitting a mixture of PPCA models.
1.1
mstep1(Y, Tau, Pi, mu, g)
Arguments
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.
Details
First M-step of the AECM algorithm when fitting a mixture of PPCA models. An internal function.
Returns
A list containing - Pi: A g vector of group probabilities
Mu: A p x g matrix each column of which contains a group mean.
References
Nyamundanda, G., Gormley, I.C. and Brennan, L. (2010) Probabilistic principal components analysis for metabolomic data. Technical report. University College Dublin, Ireland.
Author(s)
Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan