Package: rfVarImpOOB 1.0.3
rfVarImpOOB: Unbiased Variable Importance for Random Forests
Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi:10.1080/03610926.2020.1764042>. The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split. This gain is aggregated for each split variable in a tree and averaged across trees.
Authors:
rfVarImpOOB_1.0.3.tar.gz
rfVarImpOOB_1.0.3.zip(r-4.5)rfVarImpOOB_1.0.3.zip(r-4.4)rfVarImpOOB_1.0.3.zip(r-4.3)
rfVarImpOOB_1.0.3.tgz(r-4.5-any)rfVarImpOOB_1.0.3.tgz(r-4.4-any)rfVarImpOOB_1.0.3.tgz(r-4.3-any)
rfVarImpOOB_1.0.3.tar.gz(r-4.5-noble)rfVarImpOOB_1.0.3.tar.gz(r-4.4-noble)
rfVarImpOOB_1.0.3.tgz(r-4.4-emscripten)rfVarImpOOB_1.0.3.tgz(r-4.3-emscripten)
rfVarImpOOB.pdf |rfVarImpOOB.html✨
rfVarImpOOB/json (API)
| # Install 'rfVarImpOOB' in R: |
| install.packages('rfVarImpOOB', repos = c('https://markusloecher.r-universe.dev', 'https://cloud.r-project.org')) |
- arabidopsis - Arabidopsis thaliana
- titanic_train - Titanic train data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:60b5b1366b. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 23 2025 |
| R-4.5-win | NOTE | Mar 23 2025 |
| R-4.5-mac | NOTE | Mar 23 2025 |
| R-4.5-linux | NOTE | Mar 23 2025 |
| R-4.4-win | NOTE | Mar 23 2025 |
| R-4.4-mac | NOTE | Mar 23 2025 |
| R-4.4-linux | NOTE | Mar 23 2025 |
| R-4.3-win | NOTE | Mar 23 2025 |
| R-4.3-mac | NOTE | Mar 23 2025 |
Exports:Accuracygini_indexgini_processGiniImportanceForestGiniImportanceTreeInOutBagslpnormmloglossModeplotVIplotVI2preorder2rfTitanic
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6randomForestrangerrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttitanicutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| computes accuracy of a vector | Accuracy |
| Arabidopsis thaliana | arabidopsis |
| compute Gini impurity for binary values only | gini_index |
| computes Gini index | gini_process |
| computes inbag and OOB Gini importance averaged over all trees in a forest | GiniImportanceForest |
| computes Gini information gain for one tree from randomForest | GiniImportanceTree |
| separates data into inbag and outbag | InOutBags |
| Compute the Lp norm of a vector. | lpnorm |
| computes log loss for multiclass problem | mlogloss |
| computes the mode of an array | Mode |
| creates barplots for variable importances | plotVI |
| creates barplots for variable importances | plotVI2 |
| recursive traversal of tree assigning row numbers of data for each node and leaf | preorder2 |
| fit a random forest model on the titanic data | rfTitanic |
| splits the data from parent node into left and right children | splitBag |
| Titanic train data. | titanic_train |
