Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Functions for the Bernoulli family.
Functions for the Binomial family.
Extract Model Coefficients
Calculates Asymptotic Confidence Intervals
Fitting Generalized Linear Mixed Models using MCML
Monte Carlo Log Likelihood
Monte Carlo Standard Error
Monte Carlo Variance Covariance Matrix
Functions for the Poisson family.
Standard Error
Summarizing GLMM Fits
Extract Model Variance Components
Variance-Covariance Matrix
Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.