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corrselect  

Correlation-Based and Model-Based Predictor Pruning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("corrselect", "3.1.0")



Attach the package and use:
library("corrselect")
Maintained by
Gilles Colling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-08
Latest Update: 2025-09-08
Description:
Provides functions to extract low-correlation variable subsets using exact graph-theoretic algorithms (e.g., Eppstein–Löffler–Strash, Bron–Kerbosch) as well as greedy and spectral heuristics. Supports both numeric and mixed-type data using generalized association measures.
How to cite:
Gilles Colling (2025). corrselect: Correlation-Based and Model-Based Predictor Pruning. R package version 3.1.0, https://cran.r-project.org/web/packages/corrselect. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-18 22:00), 2.0.1 (2025-09-08 20:50), 3.0.2 (2025-11-29 17:40), 3.0.5 (2025-12-17 00:20), 3.1.0 (2026-01-08 16:00), 3.2.1 (2026-03-23 11:00)
Other packages that cited corrselect R package
View corrselect citation profile
Other R packages that corrselect depends, imports, suggests or enhances
Complete documentation for corrselect
Functions, R codes and Examples using the corrselect R package
Full corrselect package functions and examples
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