Description Usage Format Examples

A dataset simulated from a two-level model

1 |

An object of class `list`

of length 3.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# Fit a two-level model with the Laplace approximation to the likelihood
(mod_Laplace <- glmm(response ~ covariate + (1 | cluster), data = two_level,
family = binomial, method = "Laplace"))
# or with adaptive Gaussian quadrature
(mod_AGQ <- glmm(response ~ covariate + (1 | cluster), data = two_level,
family = binomial, method = "AGQ", control = list(nAGQ = 15)))
# or with the Sequential Reduction approximation
(mod_SR <- glmm(response ~ covariate + (1 | cluster), data = two_level,
family = binomial, method = "SR", control = list(nSL = 3)))
# in a two-level model, method = "SR" is equivalent to method = "AGQ" with
# nAGQ = 2^(nSL+1) - 1
``` |

glmmsr documentation built on April 10, 2018, 9:07 a.m.

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