Simulate data from gllvm fit
Generate new data using the fitted values of the parameters
## S3 method for class 'gllvm' simulate(object, nsim = 1, seed = NULL, conditional = FALSE, ...)
object |
an object of class 'gllvm'. |
nsim |
an optional positive integer specifying the number of simulated datasets. Defaults to 1. |
seed |
an optional integer to set seed number, passed to set.seed. Defaults to a random seed number. |
conditional |
if |
... |
not used. |
simulate function for gllvm objects.
A matrix containing generated data.
David Warton, Jenni Niku <jenni.m.e.niku@jyu.fi>
# Load a dataset from the mvabund package data(antTraits) y <- as.matrix(antTraits$abund) X <- scale(antTraits$env[, 1:3]) # Fit gllvm model fit <- gllvm(y = y, X, family = poisson()) # Simulate data newdata <- simulate(fit)
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