em.clust {MFDA} | R Documentation |
EM algorithm for functional Gaussian mixture models.
em.clust(x,clust,mu,zeta,varht,thres,iter.max,alpha)
x |
A numeric matrix, or data frame of observations, rows correspond to functional observations and columns correspond to the number of repeated measurements. |
clust |
An integer vector specifying the initial clustering membership. |
mu |
A matrix specifying the initial estimate of cluster mean profile. |
zeta |
A numerical vector specifying the initial estimate of cluster precision parameters. |
varht |
A numerical vector specifying the initial estimate of cluster error variance. |
thres |
A threshold value for rejection-controlled step. |
iter.max |
An integer limit on the number of EM iterations. |
alpha |
The prior for the cluster proportions p. |
A list contains estimated cluster membership, estimated cluster mean profile, Bayesian Information Criterion, negative loglikelihood.
Ma, P., Castillo-Davis, C., Zhong, W., and Liu, J. S. (2006) A data-driven clustering method for time course gene expression data, Nucleic Acids Research, 34 (4), 1261-1269.