pqlmer: pqlmer

In bcjaeger/r2glmm: Computes R Squared for Mixed (Multilevel) Models

pqlmer

Description

Fit a GLMM model with multivariate normal random effects using Penalized Quasi-Likelihood for mermod objects.

Usage

pqlmer(formula, family, data, niter = 40, verbose = T)

Arguments

formula	The lme4 model formula.
family	a family function of the error distribution and link function to be used in the model.
data	the dataframe containing the variables in the model.
niter	Maximum number of iterations to perform.
verbose	if TRUE, iterations are printed to console.

Value

A pseudo linear mixed model of class "lme" .

See Also

glmmPQL

Examples

# Compare lmer PQL with lme PQL

library(MASS)

lmePQL = glmmPQL(y ~ trt + week + I(week > 2), random = ~ 1 | ID,
                  family = binomial, data = bacteria,
                  verbose = FALSE)

merPQL= pqlmer(y ~ trt + week + I(week > 2) + (1 | ID),
               family = binomial, data = bacteria,
               verbose = FALSE)

summary(lmePQL)
summary(merPQL)

bcjaeger/r2glmm documentation built on June 10, 2025, 8:28 p.m.