Nothing
# Fit a three-level model with the Laplace approximation to the likelihood
(mod_Laplace <- glmm(response ~ covariate + (1 | cluster) + (1 | group),
data = three_level, family = binomial,
method = "Laplace"))
# if we try to fit with adaptive Gaussian quadrature, we get an error
\dontrun{
(mod_AGQ <- glmm(response ~ covariate + (1 | cluster) + (1 | group),
data = three_level, family = binomial, method = "AGQ",
control = list(nAGQ = 15)))
}
# We can fit with the Sequential Reduction approximation
\dontrun{
(mod_SR <- glmm(response ~ covariate + (1 | cluster) + (1 | group),
data = three_level, family = binomial, method = "SR",
control = list(nSL = 3)))
}
# the estimates of the random effects standard deviations
# are larger than those using the Laplace approximation
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.