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>).

Getting started

Package details

AuthorVincent 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>)
MaintainerVincent Dorie <vdorie@gmail.com>
LicenseGPL (>= 2)
Version1.0-5
URL https://github.com/vdorie/blme
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("blme")

Try the blme package in your browser

Any scripts or data that you put into this service are public.

blme documentation built on Jan. 6, 2021, 1:08 a.m.