compute.center {MFDA} | R Documentation |
Update and trace of the smoothing matrix for cluster k in the M step of EM algorithm for functional mixture models.
compute.center(x,weight)
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. |
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. |
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.