myglmmPQL: A flexible version of MASS::glmmPQL

In Penncil/pda: Privacy-Preserving Distributed Algorithms

A flexible version of MASS::glmmPQL

Description

A flexible version of MASS::glmmPQL

Usage

myglmmPQL(formula.glm, formula, offset=NULL, family, data, fixef.init = NULL, 
                 weights=NULL, REML=T, niter=10, verbose=T)

Arguments

formula.glm	formula used to fit glm for initial fixed effects
formula	formula used to fit iterative lmer in PQL algorithm
offset	glm offset term
family	glm family
data	glm data
fixef.init	initial fixed effects estimates, set to zeros if NULL
weights	glm weights
REML	lmer logical scalar - Should the estimates be chosen to optimize the REML criterion (as opposed to the log-likelihood)?
niter	glmmPQL maximum number of iterations.
verbose	glmmPQL logical: print out record of iterations?

Details

Use lme4::lmer instead of nlme::varFixed in PQL iteration to allow REML

Value

An object wiht the same format as lmer.

Penncil/pda documentation built on April 12, 2025, 11:36 a.m.