Bayesian Linear Mixed-Effects Models

Maximum a posteriori estimation for linear and generalized linear mixed-effects models in a Bayesian setting, implementing the methods of Chung, et al. (2013) . Extends package 'lme4' (Bates, Maechler, Bolker, and Walker (2015) ).

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

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1.0-5 by Vincent Dorie, a year ago

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Browse source code at

Authors: Vincent Dorie [aut, cre] , Douglas Bates [ctb] (lme4 non-modular functions , , Martin Maechler [ctb] (lme4 non-modular functions , , Ben Bolker [ctb] (lme4 non-modular functions , , Steven Walker [ctb] (lme4 non-modular functions ,

Documentation:   PDF Manual  

GPL (>= 2) license

Imports methods, stats, utils

Depends on lme4

Suggests expint, testthat

Imported by merTools.

Depended on by brxx, eirm, swissMrP.

Suggested by insight, miceadds, parameters.

See at CRAN