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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>).

Versions across snapshots

VersionRepositoryFileSize
1.0-7 rolling linux/jammy R-4.5 blme_1.0-7.tar.gz 455.9 KiB
1.0-7 rolling linux/noble R-4.5 blme_1.0-7.tar.gz 455.3 KiB
1.0-7 rolling source/ R- blme_1.0-7.tar.gz 41.8 KiB
1.0-7 latest linux/jammy R-4.5 blme_1.0-7.tar.gz 455.9 KiB
1.0-7 latest linux/noble R-4.5 blme_1.0-7.tar.gz 455.3 KiB
1.0-7 latest source/ R- blme_1.0-7.tar.gz 41.8 KiB
1.0-7 2026-04-26 source/ R- blme_1.0-7.tar.gz 41.8 KiB
1.0-7 2026-04-23 source/ R- blme_1.0-7.tar.gz 41.8 KiB
1.0-7 2026-04-09 windows/windows R-4.5 blme_1.0-7.zip 458.0 KiB
1.0-6 2025-04-20 source/ R- blme_1.0-6.tar.gz 38.8 KiB

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