Type: Package
Package: mermboost
Title: Gradient Boosting for Generalized Additive Mixed Models
Version: 0.1.2
Authors@R: c(person(given = "Lars",
                      family = "Knieper",
                      role = c("aut", "cre"),
                      email = "lars.knieper@uni-goettingen.de"),
               person(given = "Torsten",
                      family = "Hothorn",
                      role = "aut"),
               person(given = "Elisabeth",
                      family = "Bergherr",
                      role = "aut"),
               person(given = "Colin",
                      family = "Griesbach",
                      role = "aut"))
Author: Lars Knieper [aut, cre], Torsten Hothorn [aut], Elisabeth
        Bergherr [aut], Colin Griesbach [aut]
Maintainer: Lars Knieper <lars.knieper@uni-goettingen.de>
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.
License: GPL-2
Depends: R (>= 3.5.0), mboost, lme4
Imports: stabs, data.table, MASS, Matrix, parallel, stringr, tibble,
        reformulas
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-09-29 08:41:39 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-31 11:02:16 UTC
RemoteUrl: https://github.com/cran/mermboost
RemoteRef: HEAD
RemoteSha: 2ee06a1c9ff9dab9e8d37a9eb8b815acbb93e283