Package: mermboost 0.1.2

Lars Knieper

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 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.

Authors:Lars Knieper [aut, cre], Torsten Hothorn [aut], Elisabeth Bergherr [aut], Colin Griesbach [aut]

mermboost_0.1.2.tar.gz
mermboost_0.1.2.zip(r-4.7-any)mermboost_0.1.2.zip(r-4.6-any)
mermboost_0.1.2.tar.gz(r-4.7-any)mermboost_0.1.2.tar.gz(r-4.6-any)
mermboost_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mermboost/json (API)

# Install 'mermboost' in R:
install.packages('mermboost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • climbers_sub - Himalayan Climber Data
  • estuaries - Effect of pollution on marine microinvertebrates in estuaries
  • Orthodont - Growth curve data on an orthdontic measurement

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 274 downloads 4 exports 40 dependencies

Last updated from:2ee06a1c9f. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK158
source / vignettesOK194
linux-releaseOK138
windows-develOK100
windows-releaseOK105
wasm-releaseOK124

Exports:find_cccglmermboostmer_cvriskmermboost

Dependencies:bootclidata.tableFormulaglueinumlatticelibcoinlifecyclelme4magrittrMASSMatrixmboostminqamvtnormnlmenloptrnnlspartykitpillarpkgconfigquadprogrbibutilsRcppRcppEigenRdpackreformulasrlangrpartsandwichstabsstringistringrstrucchangesurvivaltibbleutf8vctrszoo

Readme and manuals

Help Manual

Help pageTopics
Himalayan Climber Dataclimbers_sub
Effect of pollution on marine microinvertebrates in estuariesestuaries
Find cluster-constant covariates in a data set.find_ccc
Component-wise Gradient Boosting for Generalised Mixed Modelsglmermboost glmermboost.formula
Cluster-sensitive Cross-Validationcvrisk.mermboost mer_cvrisk
Gradient Boosting for Additive Mixed Modelsmermboost
Methods for Gradient Boosting for Mixed Models Objectsmermboost_methods mstop.mer_cv plot.mer_cv predict.glmermboost predict.mermboost ranef.glmermboost ranef.mermboost VarCorr.glmermboost VarCorr.mermboost
Growth curve data on an orthdontic measurementOrthodont