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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 ORCID iD [aut, cre], Douglas Bates ORCID iD [ctb] (lme4 non-modular functions), Martin Maechler ORCID iD [ctb] (lme4 non-modular functions), Ben Bolker ORCID iD [ctb] (lme4 non-modular functions), Steven Walker ORCID iD [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-devel (arm64): blme_1.0-6.tgz, r-release (arm64): blme_1.0-6.tgz, r-oldrel (arm64): blme_1.0-6.tgz, r-devel (x86_64): 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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