Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

blme

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) <doi:10.1007/s11336-013-9328-2>. Extends package 'lme4' (Bates, Maechler, Bolker, and Walker (2015) <doi:10.18637/jss.v067.i01>).

Functions (3)

blmer

Fit Bayesian Linear and Generalized Linear Mixed-Effects Models

bmerDist-class

Bayesian Linear Mixed-Effects Model Prior Representations and bmer*Dist Methods

bmerMod-class

Class "bmerMod" of Fitted Mixed-Effect Models

blme

Bayesian Linear Mixed-Effects Models

v1.0-5

GPL (>= 2)

Authors

Vincent Dorie [aut, cre] (<https://orcid.org/0000-0002-9576-3064>), Douglas Bates [ctb] (lme4 non-modular functions, <https://orcid.org/0000-0001-8316-9503>), Martin Maechler [ctb] (lme4 non-modular functions, <https://orcid.org/0000-0002-8685-9910>), Ben Bolker [ctb] (lme4 non-modular functions, <https://orcid.org/0000-0002-2127-0443>), Steven Walker [ctb] (lme4 non-modular functions, <https://orcid.org/0000-0002-4394-9078>)

Initial release

2020-12-28

blme

Functions (3)

blme

We don't support your browser anymore