## S3 method for class 'manyglm'simulate(object, nsim =1, seed =NULL, newdata = object$data,...)
Arguments
object: a manyglm object from the mvabund package.
nsim: number of simulated datasets to generate.
seed: a seed for random number generation (defaults to NULL)
newdata: a new dataset with predictors to simulate new values for. Defaults to data model was fitted to.
...: additional optional arguments.
Returns
Simulates a data frame of new values for responses. If multiple datasets are requested, these are stacked one under the other (see example(simulate.cord).
Details
Returns a data frame containing the response and predictors. This function just calls simulate.cord
from the ecoCopula package, on a cord object constructed under default settings -- that is, it fits a copula latent variable model with two latent variables, then uses this to simulate new data.