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glmm

Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.

Versions across snapshots

VersionRepositoryFileSize
1.4.5 rolling source/ R- glmm_1.4.5.tar.gz 570.7 KiB
1.4.5 rolling linux/jammy R-4.5 glmm_1.4.5.tar.gz 363.8 KiB
1.4.5 rolling linux/noble R-4.5 glmm_1.4.5.tar.gz 363.8 KiB
1.4.5 latest source/ R- glmm_1.4.5.tar.gz 570.7 KiB
1.4.5 latest linux/jammy R-4.5 glmm_1.4.5.tar.gz 363.8 KiB
1.4.5 latest linux/noble R-4.5 glmm_1.4.5.tar.gz 363.8 KiB
1.4.5 2026-04-23 source/ R- glmm_1.4.5.tar.gz 570.7 KiB
1.4.5 2026-04-09 windows/windows R-4.5 glmm_1.4.5.zip 370.8 KiB
1.4.5 2025-04-20 source/ R- glmm_1.4.5.tar.gz 570.7 KiB

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