compute.center {MFDA}R Documentation

Update parameters for cluster k in M-step for functional mixture models.

Description

Update and trace of the smoothing matrix for cluster k in the M step of EM algorithm for functional mixture models.

Usage

compute.center(x,weight)

Arguments

x A matrix of obervations with each row representing the observation and each column representing the experiment at each time point.
weight A matrix with each element is the condtional posterior probability that functional observation belongs to cluster k.

Value

A list including the following components:

mu A vector whose kth row represent the center mean curve for the kth cluster
zeta A vector with each element representing the random effect $b_i$ for the kth cluster.
varht A vector with each element representing the estimated error variance.
trc A vector with each element representing the trace of the smoothing matrix for the kth cluster.

References

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.

See Also

compute.center


[Package MFDA version 1.1-1 Index]