Package: SHAPBoost 1.0.3

Ömer Tarik Özyilmaz
SHAPBoost: The SHAPBoost Feature Selection Algorithm
The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.
Authors:
SHAPBoost_1.0.3.tar.gz
SHAPBoost_1.0.3.zip(r-4.7)SHAPBoost_1.0.3.zip(r-4.6)SHAPBoost_1.0.3.zip(r-4.5)
SHAPBoost_1.0.3.tgz(r-4.6-any)SHAPBoost_1.0.3.tgz(r-4.5-any)
SHAPBoost_1.0.3.tar.gz(r-4.7-any)SHAPBoost_1.0.3.tar.gz(r-4.6-any)
SHAPBoost_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SHAPBoost/json (API)
NEWS
| # Install 'SHAPBoost' in R: |
| install.packages('SHAPBoost', repos = c('https://o-t-o-z.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/o-t-o-z/shapboost-r/issues
Last updated from:337322799d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 207 | ||
| source / vignettes | OK | 243 | ||
| linux-release-x86_64 | OK | 222 | ||
| macos-release-arm64 | OK | 167 | ||
| macos-oldrel-arm64 | OK | 240 | ||
| windows-devel | OK | 158 | ||
| windows-release | OK | 136 | ||
| windows-oldrel | OK | 133 | ||
| wasm-release | OK | 159 |
Exports:SHAPBoostEstimatorSHAPBoostRegressorSHAPBoostSurvival
Dependencies:abindbackportsbase64encBBmiscbootbroombslibcachemcarcarDatacaretcheckmateclasscliclockcodetoolscolorspacecolourpickercommonmarkcorrplotcowplotcpp11data.tableDerivdiagramdigestdoBydplyre1071evaluatefarverfastmapfontawesomeforeachforecastFormulafracdifffsfuturefuture.applygenericsggExtraggforceggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridExtragtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqaModelMetricsmodelrnlmenloptrnnetnumDerivotelparallellypbkrtestpillarpkgconfigplyrpolyclippolynompROCprodlimprogressrpromisesproxypurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrecipesreformulasreshape2rlangrmarkdownrpartrstatixS7sassscalesshapeSHAPforxgboostshinyshinyjssourcetoolsSparseMsparsevctrsSQUAREMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimechangetimeDatetinytextweenrtzdburcautf8vctrsviridisLitewithrxfunxgboostxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SHAPBoostEstimator Class | SHAPBoostEstimator SHAPBoostEstimator-class |
| SHAPBoostRegressor is a reference class for regression feature selection through gradient boosting. | SHAPBoostRegressor SHAPBoostRegressor-class |
| SHAPBoostSurvival is a reference class for survival analysis feature selection through gradient boosting. | SHAPBoostSurvival SHAPBoostSurvival-class |