Bayesian Linear Mixed-Effects Models

Maximum a posteriori estimation for linear and generalized linear mixed-effects models in a Bayesian setting. Extends 'lme4' by Douglas Bates, Martin Maechler, Ben Bolker, and Steve Walker.

Bayesian Linear Mixed Effect Models

A package for R. Built off of 'lme4' (

Pre-built binaries of the package are available on These can be installed from within R using the typical install.packages() mechanism.

Steps to install from source:

  1. Install development tools for your operating system:

  2. Linux/Unix should already have this installed

  3. OS X:

    1. Xcode (
    2. gfortran (
  4. Windows: Rtools (

  5. (This step may be omitted if all upstream dependencies are already available)

  6. Install the devtools package from within R:

  1. Run:


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0-4 by Vincent Dorie, 5 years ago

Report a bug at

Browse source code at

Authors: Vincent Dorie <[email protected]>

Documentation:   PDF Manual  

GPL (>= 2) license

Imports methods, stats, utils

Depends on lme4

Suggests testthat

Imported by merTools.

Depended on by swissMrP.

Suggested by insight, miceadds.

See at CRAN