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
Published:
2024年09月07日
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>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
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