logpy_RVB1: Log joint density under RVB1

In hrnasif/rvb: Reparameterized Variational Bayes

Description

Log joint density under RVB1

Usage

logpy_RVB1(ttheta, y, X, Z, Zg, ZH, vbeta0, Sinv, model, m, n, p, r)

Arguments

ttheta	Numeric vector. All global and local variables.
y	List. Responses per cluster
X	List. Covariates per cluster for fixed effects
Z	List. Covariates per cluster for random effects
Zg	Vector or Matrix. Precomputed value
ZH	List. Precomputed value
vbeta0	Numeric. Prior variance for fixed effects
Sinv	Matrix. Inverse of prior covariance matrix for random effects
model	Character. Either "poisson" or "binomial"
m	Integer. Number of trials if "binomial"
n	Integer. Number of clusters
p	Integer. Number of fixed effects
r	Integer. Number of random effects

Value

Log joint density under RVB1 model reparameterization

hrnasif/rvb documentation built on Dec. 20, 2021, 4:49 p.m.