Introduction | Installation | Data setup | Optimization Problem | Workflow | Define model | Model fitting and tuning | Interpreting and plotting a sparse-group boosting model | Variable importance | Resulting model coefficients | Plotting effect sizes and importance | Coefficient path
Package: sgboost 0.1.4
Fabian Obster
sgboost: Sparse-Group Boosting
Sparse-group boosting to be used in conjunction with the 'mboost' for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.
Authors:
sgboost_0.1.4.tar.gz
sgboost_0.1.4.zip(r-4.7-any)sgboost_0.1.4.zip(r-4.6-any)sgboost_0.1.4.zip(r-4.5-any)
sgboost_0.1.4.tgz(r-4.6-any)sgboost_0.1.4.tgz(r-4.5-any)
sgboost_0.1.4.tar.gz(r-4.7-any)sgboost_0.1.4.tar.gz(r-4.6-any)
sgboost_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sgboost/json (API)
| # Install 'sgboost' in R: |
| install.packages('sgboost', repos = c('https://fabianobster.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fabianobster/sgboost/issues
Last updated from:6e08bd6cb4. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 227 | ||
| source / vignettes | OK | 299 | ||
| linux-release | OK | 232 | ||
| macos-release | OK | 243 | ||
| macos-oldrel | OK | 253 | ||
| windows-devel | OK | 176 | ||
| windows-release | OK | 178 | ||
| windows-oldrel | OK | 189 | ||
| wasm-release | OK | 102 |
Exports:balancecreate_formulaget_coefget_coef_pathget_varimpplot_effectsplot_pathplot_varimp
Dependencies:base64encclicpp11dplyrfarverFormulagenericsggforceggplot2gluegtableinumisobandjsonlitelabelinglatticelibcoinlifecyclemagrittrMASSMatrixmboostmvtnormnnlspartykitpillarpkgconfigpolyclipquadprogR6RColorBrewerrlangrpartS7sandwichscalesstabsstringistringrstrucchangesurvivalsystemfontstibbletidyselecttweenrutf8vctrsviridisLitewithrzoo
