omega_samp {bpnreg} | R Documentation |
Sample precision matrix
Description
Sample precision matrix
Usage
omega_samp(b, B, v, q, N)
Arguments
b |
subject specific random effects vectors |
B |
prior sum of squares matrix, scale parameter Wishart distribution (of b=random effect if prior close to 0–>no random effect) |
v |
prior df=dimension Z |
q |
dimension Z(number of random effects) |
N |
sample size at second level |
[Package bpnreg version 2.0.3 Index]