Package: mermboost 0.1.0
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 '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.
Authors:
mermboost_0.1.0.tar.gz
mermboost_0.1.0.tar.gz(r-4.5-noble)mermboost_0.1.0.tar.gz(r-4.4-noble)
mermboost_0.1.0.tgz(r-4.4-emscripten)mermboost_0.1.0.tgz(r-4.3-emscripten)
mermboost.pdf |mermboost.html✨
mermboost/json (API)
| # Install 'mermboost' in R: |
| install.packages('mermboost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Orthodont - Growth curve data on an orthdontic measurement
- climbers_sub - Himalayan Climber Data
- estuaries - Effect of pollution on marine microinvertebrates in estuaries
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 22 days agofrom:b809ffa9da. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 24 2025 |
| R-4.5-linux | OK | Feb 24 2025 |
Exports:find_cccglmermboostmer_cvriskmermboost
Dependencies:bootclidata.tablefansiFormulaglueinumlatticelibcoinlifecyclelme4magrittrMASSMatrixmboostminqamvtnormnlmenloptrnnlspartykitpillarpkgconfigquadprogrbibutilsRcppRcppEigenRdpackreformulasrlangrpartstabsstringistringrsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Himalayan Climber Data | climbers_sub |
| Effect of pollution on marine microinvertebrates in estuaries | estuaries |
| Find cluster-constant covariates in a data set. | find_ccc |
| Component-wise Gradient Boosting for Generalised Mixed Models | glmermboost glmermboost.formula |
| Cluster-sensitive Cross-Validation | cvrisk.mermboost mer_cvrisk |
| Gradient Boosting for Additive Mixed Models | mermboost |
| Methods for Gradient Boosting for Mixed Models Objects | mermboost_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 measurement | Orthodont |