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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