Estep.tk {MFDA}R Documentation

Compute the cluster proportion in E-step for functional mixture models.

Description

Compute the cluster proportion in the expectation step of EM algorithm for functional mixture models.

Usage

Estep.tk(x, old, nclust)

Arguments

x A numeric matrix, or data frame of observations, rows correspond to functional observations and columns correspond to the number of repeated measurements.
old The list of output from maximization step of EM algorithm.
nclust The number of clusters (componenets in mixture model).

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.
tk A matrix whose [i,k]th entry is the conditional probability of the ith observation belonging to the kth component of the mixture.
loglikelihood 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.tik


[Package MFDA version 1.1-1 Index]