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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 '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.
Getting started
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Package details |
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| Author | Lars Knieper [aut, cre], Torsten Hothorn [aut], Elisabeth Bergherr [aut], Colin Griesbach [aut] |
| Maintainer | Lars Knieper <lars.knieper@uni-goettingen.de> |
| License | GPL-2 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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