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varSelRF
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]
[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:
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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
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