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mermboost

Gradient Boosting for Generalized Additive Mixed Models

Provides a novel framework to estimate mixed models via gradient boosting. The implemented functions are based on the 'mboost' and 'lme4' packages, and the family range is therefore determined by 'lme4'. A correction mechanism for cluster-constant covariates is implemented, as well as estimation of the covariance of random effects. These methods are described in the accompanying publication; see <doi:10.1007/s11222-025-10612-y> for details.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 mermboost_0.1.1.tar.gz 130.8 KiB
0.1.1 rolling linux/noble R-4.5 mermboost_0.1.1.tar.gz 130.8 KiB
0.1.1 rolling source/ R- mermboost_0.1.1.tar.gz 51.1 KiB
0.1.1 latest linux/jammy R-4.5 mermboost_0.1.1.tar.gz 130.8 KiB
0.1.1 latest linux/noble R-4.5 mermboost_0.1.1.tar.gz 130.8 KiB
0.1.1 latest source/ R- mermboost_0.1.1.tar.gz 51.1 KiB
0.1.1 2026-04-26 source/ R- mermboost_0.1.1.tar.gz 51.1 KiB
0.1.1 2026-04-23 source/ R- mermboost_0.1.1.tar.gz 51.1 KiB
0.1.1 2026-04-09 windows/windows R-4.5 mermboost_0.1.1.zip 133.9 KiB
0.1.0 2025-04-20 source/ R- mermboost_0.1.0.tar.gz 50.7 KiB

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