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.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0),mboost,lme4 |
| Imports: | stabs,data.table,MASS,Matrix, parallel,stringr,tibble |
| Published: | 2025-05-16 |
| DOI: | 10.32614/CRAN.package.mermboost |
| Author: | Lars Knieper [aut, cre], Torsten Hothorn [aut], Elisabeth Bergherr [aut], Colin Griesbach [aut] |
| Maintainer: | Lars Knieper <lars.knieper at uni-goettingen.de> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | mermboost citation info |
| Materials: | README |
| CRAN checks: | mermboost results |
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