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collinear
View on CRAN: Click
here
Download and install collinear package within the R console
Install from CRAN:
install.packages("collinear")
Install from Github:
library("remotes")
install_github("cran/collinear")
Install by package version:
library("remotes")
install_version("collinear", "2.0.0")
Attach the package and use:
library("collinear")
Maintained by
Blas M. Benito
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.collinear . https://github.com/blasbenito/collinear/issues . https://blasbenito.github.io/collinear/ . collinear citation info . collinear results . collinear.pdf . collinear_2.0.0.tar.gz . collinear_2.0.0.zip . collinear_2.0.0.zip . collinear_2.0.0.zip . collinear_2.0.0.tgz . collinear_2.0.0.tgz . collinear_2.0.0.tgz . collinear_2.0.0.tgz . collinear_2.0.0.tgz . collinear_2.0.0.tgz . collinear archive . https://CRAN.R-project.org/package=collinear .
First Published: 2023-10-24
Latest Update: 2023-12-08
Description:
System for seamless management of multicollinearity in data frames
with numeric and/or categorical variables for statistical analysis and
machine learning modeling. The package combines bivariate correlation
(Pearson, Spearman, and Cramer's V) with variance inflation factor analysis,
target encoding to transform categorical variables into numeric (Micci-Barreca, D. 2001
), and a flexible
feature prioritization method, to deliver a comprehensive
multicollinearity management tool covering a wide range of use cases.
How to cite:
Blas M. Benito (2023). collinear: Automated Multicollinearity Management. R package version 2.0.0, https://cran.r-project.org/web/packages/collinear. Accessed 10 Apr. 2025.
Previous versions and publish date:
Other packages that cited collinear R package
View collinear citation profile
Other R packages that collinear depends,
imports, suggests or enhances
Complete documentation for collinear
Functions, R codes and Examples using
the collinear R package
Some associated functions: auc_score . collinear-package . collinear . cor_df . cor_matrix . cor_select . cramer_v . drop_geometry_column . f_gam_auc_balanced . f_gam_auc_unbalanced . f_gam_deviance . f_logistic_auc_balanced . f_logistic_auc_unbalanced . f_rf_auc_balanced . f_rf_auc_unbalanced . f_rf_rsquared . f_rsquared . identify_non_numeric_predictors . identify_numeric_predictors . identify_zero_variance_predictors . internal . preference_order . target_encoding_lab . target_encoding_methods . toy . validate_df . validate_predictors . validate_response . vi . vi_predictors . vif_df . vif_select .
Some associated R codes: collinear.R . cor_df.R . cor_matrix.R . cor_select.R . cramer_v.R . data.R . drop_geometry_column.R . globals.R . identify.R . imports.R . preference_order.R . target_encoding_lab.R . target_encoding_methods.R . validate.R . vif_df.R . vif_select.R . Full collinear package functions and examples
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