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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 |
| Reference manual: | TangledFeatures.pdf |
| Vignettes: |
Correlation Data_Input Example_Walkthrough |
| 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, r-oldrel (x86_64): TangledFeatures_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
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