Simulate from a communityPGLMM object
Note that this function currently only works for model fit with bayes = TRUE
## S3 method for class 'communityPGLMM' simulate(object, nsim = 1, seed = NULL, re.form = NULL, ...)
object: A fitted model object with class 'communityPGLMM'.
nsim: positive integer scalar - the number of responses to simulate.
seed: an optional seed to be used in set.seed
immediately before the simulation so as to generate a reproducible sample.
re.form: (formula, NULL, or NA) specify which random effects to condition on when predicting. If NULL, include all random effects and the conditional modes of those random effects will be included in the deterministic part of the simulation (i.e Xb + Zu); if NA or ~0, include no random effects and new values will be chosen for each group based on the estimated random-effects variances (i.e. Xb + Zu * u_random).
...: optional additional arguments: none are used at present.
Useful links