find_lfun_glmm

a model frame, the output of <code>find_modfr_glmm</code>

modfr

the method used to approximate the likelihood. The options
are <code>"Laplace"</code>, <code>"AGQ"</code> (the adaptive Gaussian quadrature approximation,
from <code>lme4</code>), <code>"SR"</code> (the sequential reduction approximation)
and <code>"IS"</code> (an importance sampling approximation).

method

a list of extra parameters controlling the approximation
to the likelihood. See 'Details' for more information.

control

the result of a call to <code>lme4_control</code>, containing
control parameters passed to <code>lme4</code>. See <code>?lme4_control</code>.

lme4_control

Conduct inference about generalized linear mixed models, with a
choice about which method to use to approximate the likelihood. In addition
to the Laplace and adaptive Gaussian quadrature approximations, which are
borrowed from 'lme4', the likelihood may be approximated by the sequential
reduction approximation, or an importance sampling approximation. These
methods provide an accurate approximation to the likelihood in some
situations where it is not possible to use adaptive Gaussian quadrature.

find_lfun_glmm: Find the log-likelihood function

Description

Usage

Arguments