Description Usage Format Examples

A dataset simulated from a three-level model

1 |

An object of class `list`

of length 4.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
# 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
## Not run:
(mod_AGQ <- glmm(response ~ covariate + (1 | cluster) + (1 | group),
data = three_level, family = binomial, method = "AGQ",
control = list(nAGQ = 15)))
## End(Not run)
# We can fit with the Sequential Reduction approximation
## Not run:
(mod_SR <- glmm(response ~ covariate + (1 | cluster) + (1 | group),
data = three_level, family = binomial, method = "SR",
control = list(nSL = 3)))
## End(Not run)
# the estimates of the random effects standard deviations
# are larger than those using the Laplace approximation
``` |

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