Other packages > Find by keyword >

MulvariateRandomForestVarImp  

Variable Importance Measures for Multivariate Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MulvariateRandomForestVarImp", "0.0.2")



Attach the package and use:
library("MulvariateRandomForestVarImp")
Maintained by
Dogonadze Nika
[Scholar Profile | Author Map]
First Published: 2021-12-03
Latest Update: 2021-12-15
Description:
Calculates two sets of post-hoc variable importance measures for multivariate random forests. The first set of variable importance measures are given by the sum of mean split improvements for splits defined by feature j measured on user-defined examples (i.e., training or testing samples). The second set of importance measures are calculated on a per-outcome variable basis as the sum of mean absolute difference of node values for each split defined by feature j measured on user-defined examples (i.e., training or testing samples). The user can optionally threshold both sets of importance measures to include only splits that are statistically significant as measured using an F-test.
How to cite:
Dogonadze Nika (2021). MulvariateRandomForestVarImp: Variable Importance Measures for Multivariate Random Forests. R package version 0.0.2, https://cran.r-project.org/web/packages/MulvariateRandomForestVarImp. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.0.1 (2021-12-03 19:50)
Other packages that cited MulvariateRandomForestVarImp R package
View MulvariateRandomForestVarImp citation profile
Other R packages that MulvariateRandomForestVarImp depends, imports, suggests or enhances
Complete documentation for MulvariateRandomForestVarImp
Functions, R codes and Examples using the MulvariateRandomForestVarImp R package
Some associated functions: MeanOutcomeDifference . MeanSplitImprovement . 
Some associated R codes: common.R . mean_outcome_difference.R . mean_split_improvement.R .  Full MulvariateRandomForestVarImp package functions and examples
Downloads during the last 30 days
03/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0404/0504/0604/0704/0804/09Downloads for MulvariateRandomForestVarImp02468101214TrendBars

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
GRNNs  
General Regression Neural Networks Package
This General Regression Neural Networks Package uses various distance functions. It was motivated b ...
Download / Learn more Package Citations See dependency  
xtermStyle  
Terminal Text Formatting Using Escape Sequences
Can be used for coloring output in terminals. It was developed for the standard Ubuntu terminal but ...
Download / Learn more Package Citations See dependency  
RODBC  
ODBC Database Access
txtq  
A Small Message Queue for Parallel Processes
This queue is a data structure that lets parallel processes send and receive messages, and it can he ...
Download / Learn more Package Citations See dependency  
ecochange  
Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biolo ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

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