compute.M.all {MFDA} | R Documentation |
Maximization step in the EM algorithm for functional mixture models.
compute.M.all(x, weight, my.label)
x |
A matrix, or data frame of observations, rows correspond to observations and columns correspond to variables. |
weight |
A matrix whose [i,k] th entry is the
conditional probability of the ith observation belonging to
the kth component of the mixture.
|
my.label |
A list whose kth entry is the indicator value indicating whether the ith functional observation is participant of M-step for cluster k. |
A list including the following components:
mu |
A matrix whose kth column is the mean of the kth component of the mixture model. |
zeta |
A numerical vector specifying the estimate of cluster precision parameters. |
varht |
A numerical vector specifying the estimate of cluster error variance. |
mu |
A matrix specifying the estimate of cluster mean profile. |
zeta |
A numerical vector specifying the estimate of cluster precision parameters. |
trc |
A numerical vector whose kth entry specifying the trace of smoothing matrix of cluster k. |
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.