simulateY: Simulates values of the dependent variable based on a model...

In nlmeU: Functions and Data Supporting 'Linear Mixed-Effects Models: A Step-by-Step Approach'

Simulates values of the dependent variable based on a model fit

Description

This function is generic; method functions can be written to handle specific classes of objects.

Usage

simulateY(object, nsim = 1, seed = NULL, ..., verbose = FALSE, sigma)

Arguments

object	an object with a model fit for which the dependent variable is to be simulated.
nsim	number of simulations. By default, nsim = 1.
seed	integer scalar used to initiate the random number generator.
...	some methods for this generic function may require additional arguments.
verbose	logical. If TRUE, basic information about arguments is provided. By default set to FALSE.
sigma	numeric scalar. Allows simulations employing an alternative value of the scale parameter.

Value

Numeric matrix with the number of columns determined by the nsim argument.

Author(s)

Andrzej Galecki and Tomasz Burzykowski

Examples

## Not run: 
  library(nlme)
  fm1 <- lme(distance ~ age, data = Orthodont)
  simulateY(fm1)

## End(Not run)

nlmeU documentation built on Aug. 25, 2025, 5:12 p.m.