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 'mboost' and 'lme4'.
Hence, the family range is predetermined by 'lme4'. A correction mechanism
for cluster-constant covariates is implemented as well as an estimation of random
effects' covariance.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0), mboost, lme4 |
| Imports: |
stabs, data.table, MASS, Matrix, parallel, stringr, tibble |
| Published: |
2025-02-24 |
| 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 |
| Materials: |
README |
| CRAN checks: |
mermboost results |
Documentation:
Downloads:
| Package source: |
mermboost_0.1.0.tar.gz |
| Windows binaries: |
r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: |
r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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