Omega.f: Sample precision matrix

Description Usage Arguments

View source: R/mcmc.R

Description

Sample precision matrix

Usage

1
Omega.f(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


bpnreg documentation built on May 2, 2019, 6:37 a.m.