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binomialRF  

Binomial Random Forest Feature Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("binomialRF", "0.1.0")



Attach the package and use:
library("binomialRF")
Maintained by
Samir Rachid Zaim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-31
Latest Update: 2020-03-26
Description:
The 'binomialRF' is a new feature selection technique for decision trees that aims at providing an alternative approach to identify significant feature subsets using binomial distributional assumptions (Rachid Zaim, S., et al. (2019)) . Treating each splitting variable selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF' then tests whether a feature is selected more often than by random chance.
How to cite:
Samir Rachid Zaim (2020). binomialRF: Binomial Random Forest Feature Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/binomialRF. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2020-01-31 15:40), 0.0.2 (2020-02-19 21:40)
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View binomialRF citation profile
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Complete documentation for binomialRF
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