GLMM(formula, family, data, random, method = c("PQL", "Laplace"),
control = list(), subset, weights, na.action, offset,
model = TRUE, x = FALSE, y = FALSE, ...)
Details
Additional arguments, some of them standard in model-fitting
functions, can be passed to GLMM.
[object Object],[object Object],[object Object],[object Object],[object Object]
References
Schall, R. (1991) Estimation in generalized linear models with
random effects.
Biometrika78, 719--727.
Breslow, N. E. and Clayton, D. G. (1993) Approximate inference in
generalized linear mixed models.
Journal of the American Statistical Association88, 9--25.
Wolfinger, R. and O'Connell, M. (1993) Generalized linear mixed models: a
pseudo-likelihood approach.
Journal of Statistical Computation and Simulation48, 233--243.