Estep.tik {MFDA}R Documentation

Compute the conditional probability of subject i in cluster k in E-step for functional mixture models.

Description

Compute the conditional probability of subject i in cluster k in the expectation step of EM algorithm for functional mixture models.

Usage

Estep.tik(xx.i, old)

Arguments

xx.i A numeric vector corresponds to a functional observation.
old The list of output from maximization step of EM algorithm.

Value

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.

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

Estep.tk


[Package MFDA version 1.1-1 Index]