TangledFeatures: Feature Selection in Highly Correlated Spaces

Feature selection algorithm that extracts features in highly correlated spaces. The extracted features are meant to be fed into simple explainable models such as linear or logistic regressions. The package is useful in the field of explainable modelling as a way to understand variable behavior.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: correlation, data.table, dplyr, fastDummies, ggplot2, igraph, janitor, Matrix, methods, purrr, ranger
Suggests: knitr, R.rsp, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-02-14
Author: Allen Sunny [aut, cre]
Maintainer: Allen Sunny <allensunny1242 at gmail.com>
License: MIT + file LICENSE
URL: https://allen-1242.github.io/TangledFeatures/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: TangledFeatures results

Documentation:

Reference manual: TangledFeatures.pdf
Vignettes: Correlation
Data_Input
Example_Walkthrough

Downloads:

Package source: TangledFeatures_0.1.1.tar.gz
Windows binaries: r-devel: TangledFeatures_0.1.1.zip, r-release: TangledFeatures_0.1.1.zip, r-oldrel: TangledFeatures_0.1.1.zip
macOS binaries: r-release (arm64): TangledFeatures_0.1.1.tgz, r-oldrel (arm64): TangledFeatures_0.1.1.tgz, r-release (x86_64): TangledFeatures_0.1.1.tgz

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