Lgrad_RVB1: Log joint density and gradient for RVB1

In hrnasif/rvb: Reparameterized Variational Bayes

Description

Log joint density and gradient for RVB1

Usage

Lgrad_RVB1(ttheta, y, X, Z, Zg, ZH, vbeta0, Sinv, model, m, n, p, r, d)

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
d	Integer. Total number of local and global variables.

Value

List including Log joint density and gradient of log joint density under RVB1

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