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mermboost

Gradient Boosting for Generalized Additive Mixed Models

v0.1.1 · May 16, 2025 · GPL-2

Description

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.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies mboost lme4 stabs data.table MASS Matrix stringr tibble mermboost

Version History

new 0.1.1 Mar 9, 2026