Using the per-sample means, generate individually varrying coefficients for each condition.

sample_betas(deltas, group_index, Sigma)

Arguments

deltas

an M by K matrix of coefficients for each M samples and K conditions

group_index

a vector of group labels (1:M) for each individual from 1:N

Sigma

a K by K correlation matrix definining the covariance of individually varying coefficients

Value

an N by K matrix of coefficients