Simulates values for an lme object — simulateY.lme • nlmeU

This is a method for the simulateY generic function.

# S3 method for class 'lme'
simulateY(
  object,
  nsim = 1,
  seed = as.integer(runif(1, 0, .Machine$integer.max)),
  ...,
  verbose = FALSE,
  sigma
)

Arguments

object: an lme 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.

Details

Simulates values of the dependent variable for a fitted lme model. Data with one level of grouping only.

Author

Andrzej Galecki and Tomasz Burzykowski

Examples


if (FALSE) { # \dontrun{
  library(nlme)
  fm1 <- lme(distance ~ age, data = Orthodont)
  simulateY(fm1)
} # }