Other packages > Find by keyword >

varSelRF  

Variable Selection using Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("varSelRF", "0.7-8")



Attach the package and use:
library("varSelRF")
Maintained by
Ramon Diaz-Uriarte
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-05-30
Latest Update: 2017-07-10
Description:
Variable selection from random forests using both backwards variable elimination (for the selection of small sets of non-redundant variables) and selection based on the importance spectrum (somewhat similar to scree plots; for the selection of large, potentially highly-correlated variables). Main applications in high-dimensional data (e.g., microarray data, and other genomics and proteomics applications).
How to cite:
Ramon Diaz-Uriarte (2005). varSelRF: Variable Selection using Random Forests. R package version 0.7-8, https://cran.r-project.org/web/packages/varSelRF. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.5-3 (2005-05-30 12:55), 0.6-2 (2005-08-20 23:42), 0.6-3 (2006-09-21 14:11), 0.6-5 (2008-04-17 18:20), 0.7-1 (2009-03-03 21:20), 0.7-2 (2010-06-04 15:24), 0.7-3 (2010-10-28 12:56), 0.7-5 (2014-12-14 12:14)
Other packages that cited varSelRF R package
View varSelRF citation profile
Other R packages that varSelRF depends, imports, suggests or enhances
Complete documentation for varSelRF
Functions, R codes and Examples using the varSelRF R package
Some associated functions: plot.varSelRF . plot.varSelRFBoot . randomVarImpsRF . randomVarImpsRFplot . selProbPlot . summary.varSelRFBoot . varSelImpSpecRF . varSelRF . varSelRFBoot . 
Some associated R codes: varSelRF.R .  Full varSelRF package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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