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' (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")`