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>).

Version:	1.0-6
Depends:	R (≥ 3.0-0), lme4 (≥ 1.0-6)
Imports:	methods, stats, utils
Suggests:	expint (≥ 0.1-3), testthat
Published:	2024-09-07
DOI:	10.32614/CRAN.package.blme
Author:	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)
Maintainer:	Vincent Dorie <vdorie at gmail.com>
BugReports:	https://github.com/vdorie/blme/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/vdorie/blme
NeedsCompilation:	no
Citation:	blme citation info
Materials:	ChangeLog
In views:	MixedModels
CRAN checks:	blme results

Documentation:

Reference manual:

blme.pdf

Downloads:

Package source:	blme_1.0-6.tar.gz
Windows binaries:	r-devel: blme_1.0-6.zip, r-release: blme_1.0-6.zip, r-oldrel: blme_1.0-6.zip
macOS binaries:	r-release (arm64): blme_1.0-6.tgz, r-oldrel (arm64): blme_1.0-6.tgz, r-release (x86_64): blme_1.0-6.tgz, r-oldrel (x86_64): blme_1.0-6.tgz
Old sources:	blme archive

Reverse dependencies:

Reverse depends:	brxx, eirm
Reverse imports:	merTools, muscat, phoenics
Reverse suggests:	glmmTMB, insight, marginaleffects, MAST, miceadds, parameters

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blme to link to this page.