Maximize the approximated log-likelihood

Description

Find the approximate maximum likelihood estimate, and estimate the variance of the estimate

Usage

1
optimize_glmm(lfun, p_beta, p_theta, prev_fit = NULL, verbose = 1L)

Arguments

lfun

the approximated loglikelihood function

p_beta

the number of covariates

p_theta

the number of random effects

prev_fit

a glmmFit object, the result of a previous model fit.

verbose

controls how much detail to print out while fitting the model. For verbose = 0, print nothing. For verbose = 1 (the default), print output approximately once a second during model fitting. For verbose = 2, print out the parameter value and log-likelihood at every stage of optimization.

Value

A list, containing the parameter estimate and variance matrix