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' (http://cran.r-project.org/web/packages/lme4/index.html)

Pre-built binaries of the package are available on http://cran.r-project.org/web/packages/blme/index.html. 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 (https://developer.apple.com/xcode/downloads/)
    2. gfortran (https://gcc.gnu.org/wiki/GFortranBinaries#MacOS)
  4. Windows: Rtools (http://cran.r-project.org/bin/windows/Rtools/)

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

  6. Install the devtools package from within R:

`install.packages("devtools")`
  1. Run:
`install_github("vdorie/blme")`

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Reference manual

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install.packages("blme")

1.0-4 by Vincent Dorie, 4 years ago


https://github.com/vdorie/blme


Report a bug at https://github.com/vdorie/blme/issues


Browse source code at https://github.com/cran/blme


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