R: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

# Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

## Documentation for package ‘glmm’ version 1.4.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

bacteria | Presence of Bacteria after Drug Treatments
bernoulli.glmm | Functions for the Bernoulli family.
binomial.glmm | Functions for the Binomial family.
Booth2 | A Logit-Normal GLMM Dataset
BoothHobert | A Logit-Normal GLMM Dataset from Booth and Hobert
cbpp2 | Contagious Bovine Pleuropneumonia
coef.glmm | Extract Model Coefficients
confint.glmm | Calculates Asymptotic Confidence Intervals
glmm | Fitting Generalized Linear Mixed Models using MCML
logLik.glmm | Monte Carlo Log Likelihood
mcse | Monte Carlo Standard Error
mcvcov | Monte Carlo Variance Covariance Matrix
murder | Number of Homicide Victims Known
poisson.glmm | Functions for the Poisson family.
print.summary.glmm | Summarizing GLMM Fits
radish2 | Radish count data set
salamander | Salamander mating data set from McCullagh and Nelder (1989)
se | Standard Error
summary.glmm | Summarizing GLMM Fits
varcomps | Extract Model Variance Components
vcov.glmm | Variance-Covariance Matrix