merMCMC-class

coerce,merMCMC,matrix-method

qqmath,merMCMC-method

densityplot,merMCMC-method

xyplot,merMCMC-method

as.matrix,merMCMC-method

as.data.frame,merMCMC-method

coerce,merMCMC,data.frame-method

Objects of class <code>"merMCMC"</code> are Markov chain Monte Carlo samples
  from the distribution of the parameters of a fitted mixed-effects
  model.

classes

Fit linear and generalized linear mixed-effects models.
        This is the implementation of lme4 available on CRAN and
        developed up to 2011.

Ben Bolker

lme4

Linear mixed-effects models using S4 classes

merMCMC-class function

Objects can be created by calls of the form <code>new("merMCMC", ...)</code>
  or, more commonly, via the <code>mer</code> method for the generic
  <code><a href="/link/mcmcsamp?package=lme4&version=0.999999-2" rd-options="" data-mini-rdoc="lme4::mcmcsamp">mcmcsamp</a></code> function.

Objects from the Class

Mixed-model Markov chain Monte Carlo results

The Learning Leader's Guide to AI Literacy

merMCMC-class: Mixed-model Markov chain Monte Carlo results

Description

Arguments

Objects from the Class

See Also

Examples