Other packages > Find by keyword >

rfVarImpOOB  

Unbiased Variable Importance for Random Forests
View on CRAN: Click here


Download and install rfVarImpOOB package within the R console
Install from CRAN:
install.packages("rfVarImpOOB")

Install from Github:
library("remotes")
install_github("cran/rfVarImpOOB")

Install by package version:
library("remotes")
install_version("rfVarImpOOB", "1.0.3")



Attach the package and use:
library("rfVarImpOOB")
Maintained by
Markus Loecher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-05
Latest Update: 2022-07-01
Description:
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 . 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.
How to cite:
Markus Loecher (2019). rfVarImpOOB: Unbiased Variable Importance for Random Forests. R package version 1.0.3, https://cran.r-project.org/web/packages/rfVarImpOOB. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:50), 1.0.1 (2020-10-18 11:00), 1.0 (2019-04-05 14:50)
Other packages that cited rfVarImpOOB R package
View rfVarImpOOB citation profile
Other R packages that rfVarImpOOB depends, imports, suggests or enhances
Complete documentation for rfVarImpOOB
Functions, R codes and Examples using the rfVarImpOOB R package
Some associated functions: Accuracy . GiniImportanceForest . GiniImportanceTree . InOutBags . Mode . arabidopsis . gini_index . gini_process . lpnorm . mlogloss . plotVI . plotVI2 . preorder2 . rfTitanic . splitBag . titanic_train . 
Some associated R codes: GetNodeInfo_SingleTree.R . InOutBags.R . LossFunctions.R . allFuns.R . plotVI.R .  Full rfVarImpOOB package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA