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glmmrBase

Generalised Linear Mixed Models in R

Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more.

Versions across snapshots

VersionRepositoryFileSize
1.3.0 rolling source/ R- glmmrBase_1.3.0.tar.gz 251.5 KiB
1.3.0 rolling linux/jammy R-4.5 glmmrBase_1.3.0.tar.gz 2.0 MiB
1.3.0 rolling linux/noble R-4.5 glmmrBase_1.3.0.tar.gz 2.1 MiB
1.3.0 latest source/ R- glmmrBase_1.3.0.tar.gz 251.5 KiB
1.3.0 latest linux/jammy R-4.5 glmmrBase_1.3.0.tar.gz 2.0 MiB
1.3.0 latest linux/noble R-4.5 glmmrBase_1.3.0.tar.gz 2.1 MiB
1.3.0 2026-04-23 source/ R- glmmrBase_1.3.0.tar.gz 251.5 KiB
1.3.0 2026-04-09 windows/windows R-4.5 glmmrBase_1.3.0.zip 2.4 MiB
1.0.0 2025-04-20 source/ R- glmmrBase_1.0.0.tar.gz 272.9 KiB

Dependencies (latest)

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