b_samp: Sample subject specific random effects

In joliencremers/bpnreg: Bayesian Projected Normal Regression Models for Circular Data

Sample subject specific random effects

Description

Sample subject specific random effects

Usage

b_samp(Omega, beta, R, theta, X, q, Z, ZtZ, N)

Arguments

Omega	current covariance matrix
beta	current fixed effect coefficients vector
R	component of current outcome vector (Y.I=cos(theta)*R, Y.II=sin(theta)*R)
X	design matrix model parameters (differs per person)
q	dimension Z(number of random effects)
Z	design matrix for random effects (differs per person)
ZtZ	transpose(Z)*Z
N	sample size at second level

joliencremers/bpnreg documentation built on Nov. 9, 2023, 4:55 a.m.