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TANOVA (version 1.0.0)

prior.sigma: Compute the prior of covariance matrix

Description

This is an internal function.

Usage

prior.sigma(Q,f1,f2,tp=0) prior.SIGMA(data,f1,f2,time.course)

Arguments

Q
internal parameter
data
a data matrix containing expression values. Row and column represent gene (probe set) and array respectively
f1
a vector containing the levels of a factor in each array
f2
a vector containing the levels of a factor in each array
tp
a vector containing the sampling time point of each array
time.course
the number of time points sampled

See Also

tanova