Introduction to shadowVIMP package | Quick start | Theoretical framework | Motivation | Big picture | Details | Pooled p-value | Pre-selection | Addressing multiple testing issue | Hands-on insights: mastering shadowVIMP | Select output components | Choose decision criteria for the final decision | Output structure | Plot your results | Parallel computing
Package: shadowVIMP 1.0.3
Tim Mueller
shadowVIMP: Covariate Selection Based on VIMP Permutation-Like Testing
A statistical method for reducing the number of covariates in an analysis by evaluating Variable Importance Measures (VIMPs) derived from the Random Forest algorithm. It performs statistical tests on the VIMPs and outputs whether the covariate is significant along with the p-values.
Authors:
shadowVIMP_1.0.3.tar.gz
shadowVIMP_1.0.3.zip(r-4.7-any)shadowVIMP_1.0.3.zip(r-4.6-any)shadowVIMP_1.0.3.zip(r-4.5-any)
shadowVIMP_1.0.3.tgz(r-4.6-any)shadowVIMP_1.0.3.tgz(r-4.5-any)
shadowVIMP_1.0.3.tar.gz(r-4.7-any)shadowVIMP_1.0.3.tar.gz(r-4.6-any)
shadowVIMP_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
shadowVIMP/json (API)
| # Install 'shadowVIMP' in R: |
| install.packages('shadowVIMP', repos = c('https://staburo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/staburo/shadowvimp/issues
Last updated from:f26cc88caf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 160 | ||
| source / vignettes | OK | 282 | ||
| linux-release | OK | 157 | ||
| macos-release | OK | 183 | ||
| macos-oldrel | OK | 175 | ||
| windows-devel | OK | 113 | ||
| windows-release | OK | 110 | ||
| windows-oldrel | OK | 108 | ||
| wasm-release | OK | 114 |
Exports:plot_vimpsshadow_vimp
Dependencies:abindbackportsbase64encbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggforceggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpatchworkpbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetweenrurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Box plot of VIMPs and corresponding p-values | plot_vimps |
| Print shadow_vimp results | print.shadow_vimp |
| Select influential covariates in random forests using multiple testing control | shadow_vimp |