lme4 (version 0.999999-2)

mcmcsamp: Generate an MCMC sample

Description

This generic function generates a sample from the posterior distribution of the parameters of a fitted model using Markov Chain Monte Carlo methods.

Usage

mcmcsamp(object, n, verbose, ...)
## S3 method for class 'mer':
mcmcsamp(object, n, verbose, saveb, \dots)

Arguments

object

An object of a suitable class - usually an "mer" object.

n

integer - number of samples to generate. Defaults to 1.

verbose

logical - if TRUE verbose output is printed. Defaults to FALSE.

saveb

logical - if TRUE the values of the random effects are saved as part of the chain. Default is FALSE. Note that saving the random effects can require a considerable amount of memory. Use with caution.

...

Some methods may take additional, optional arguments.

Value

• An object of class "merMCMC" for which many methods are defined.

Examples

(fm1 <- lmer(Reaction ~ Days + (1|Subject) + (0+Days|Subject), sleepstudy))
set.seed(101); samp0 <- mcmcsamp(fm1, n = 1000)
str(samp0)