simulate.gllvm: Simulate data from gllvm fit
In gllvm: Generalized Linear Latent Variable Models

simulate.gllvm

R Documentation

Simulate data from gllvm fit

Description

Generate new data using the fitted values of the parameters

Usage

## S3 method for class 'gllvm'
simulate(object, nsim = 1, seed = NULL, conditional = FALSE, ...)

Arguments

`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 `conditional = FALSE` simulates marginally over the latent variables.
`...`	not used.

Details

simulate function for gllvm objects.

Value

A matrix containing generated data.

Author(s)

David Warton, Jenni Niku <jenni.m.e.niku@jyu.fi>

Examples

 
# 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)

gllvm documentation built on Sept. 18, 2023, 5:22 p.m.