optimize_glmm: Maximize the approximated log-likelihood

In glmmsr: Fit a Generalized Linear Mixed Model

Description

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

Usage

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

glmmsr documentation built on May 2, 2019, 2:12 p.m.