find_approximation_name

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>

method

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

control

Find the name of the likelihood approximation used for fitting

internal

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_approximation_name: Find the name of the likelihood approximation used for fitting

Description

Usage

Arguments

`Value`