Estep.tik {MFDA} | R Documentation |
Compute the conditional probability of subject i in cluster k in the expectation step of EM algorithm for functional mixture models.
Estep.tik(xx.i, old)
xx.i |
A numeric vector corresponds to a functional observation. |
old |
The list of output from maximization step of EM algorithm. |
A list including the following components:
clust |
A vector whose ith entry is the indicator value of the ith observation belonging to the kth component of the mixture. |
t.ik |
A vector whose kth entry is the conditional probability of the ith observation belonging to the kth component of the mixture. |
loglike |
The negative logliklihood for the data in the mixture model. |
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.