Type: Package
Package: mermboost
Title: Gradient Boosting for Generalized Additive Mixed Models
Version: 0.1.0
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 '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.
License: GPL-2
Depends: R (>= 3.5.0), mboost, lme4
Imports: stabs, data.table, MASS, Matrix, parallel, stringr, tibble
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-02-21 13:30:14 UTC; lars
Repository: CRAN
Date/Publication: 2025-02-24 16:40:07 UTC
