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
| Version | Repository | File | Size |
|---|---|---|---|
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 |