Lgrad_RVB2: Log joint density and gradient for RVB2

In hrnasif/rvb: Reparameterized Variational Bayes

Description

Log joint density and gradient for RVB2

Usage

Lgrad_RVB2(ttheta, y, X, Z, Zt, Zy, etahat, 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
Zt	List. Output from transformZi
Zy	Numeric or vector. Z^T y
etahat	List. Contains per cluster MLEs under RVB1 regularized model
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 variables

Value

List. Containing log joint density and the gradient vector for the log joint density under RVB2

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