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filtro  

Feature Selection Using Supervised Filter-Based Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("filtro", "0.2.0")



Attach the package and use:
library("filtro")
Maintained by
Frances Lin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-18
Latest Update: 2025-07-18
Description:
Tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, and importance scores (Kuhn and Johnson (2019) <doi:10.1201/9781315108230>).
How to cite:
Frances Lin (2025). filtro: Feature Selection Using Supervised Filter-Based Methods. R package version 0.2.0, https://cran.r-project.org/web/packages/filtro. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-07-18 17:20)
Other packages that cited filtro R package
View filtro citation profile
Other R packages that filtro depends, imports, suggests or enhances
Complete documentation for filtro
Functions, R codes and Examples using the filtro R package
Full filtro package functions and examples
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