R Observatory: Metrics for collinear version 3.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

collinear

3.0.2Package record

Automated Multicollinearity Management

0packages depend

5.7Kdownloads / year

96.1%test coverage

13/13flavors OK

Overview

About

Maintained by Blas M. BenitoCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides a comprehensive and automated workflow for managing multicollinearity in data frames with numeric and/or categorical variables. The package integrates five robust methods into a single function: (1) target encoding of categorical variables based on response values (Micci-Barreca, 2001 (Micci-Barreca, D. 2001 doi:10.1145/507533.507538); (2) automated feature prioritization to preserve key predictors during filtering; (3 and 4) pairwise correlation and VIF filtering across all variable types (numeric–numeric, numeric–categorical, and categorical–categorical); (5) adaptive correlation and VIF thresholds. Together, these methods enable a reliable multicollinearity management in most use cases while maintaining model integrity. The package also supports parallel processing and progress tracking via the packages 'future' and 'progressr', and provides seamless integration with the 'tidymodels' ecosystem through a dedicated recipe step.

Changes in 3.0.2

The preference_order dataframe returned by collinear() now shows the correct metric name instead of "custom" when a known f function is used.

The formula environment generated by model_formula() is now a minimal two-binding environment (poly, s) with baseenv() as parent, rather than the full caller frame. This prevents large objects (e.g. the df dataframe and intermediate variables) from being serialized when a fitted model is saved with saveRDS().

Improved example of the function collinear().

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("collinear", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("blasbenito/collinear")

Development version from blasbenito/collinear. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-collinear

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-collinear

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-collinear

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-12

Show 3 earlier changesHide 3 earlier changes

WARNING12 OK, 1 WARNING2026-05-11
OK12 OK2026-04-25
NOTE13 OK, 1 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.0.2

READMEYes · 712 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 3.0.2Citation fileYes · software entry onlyWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 63 (1 internal)
Examples that run: 98%56 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 10%

How these are measured

Downloads

5.7K

CRAN downloads in the past year

Rank #5,588 · ~16/day · ~473/mo

Releases R versions

Daily download trend is not available in this view yet.

60330 days

1.5K90 days

5.7K1 year

Compare downloads with other packages →

Also on255 r2u24 autocran

How downloads are counted

Repository

blasbenito/collinear ↗Account: BlasBenito

21Stars

3Forks

0Open issues

0Open PRs

5Releases

276Commits

4Commit identities

machine-learningmulticollinearityr-packagestatistics

276 commits · Last activity 2026-10-14 · +10.5% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 33%
Median days to close, 50 most recently updated closed issues: 38
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-10-11 · 142026-10-14 · 21

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/blasbenito/collinear on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-01 · The repository has a site deploy workflow

pkgdown site last built 2026-09-01

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing collinear adds 66 packages (37 with compiled code, 67 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.1.0

Imports (7)

progressr future.applymgcvranger recipes rlang spatialData

LinkingTo (0)

none

Suggests (3)

future testthat spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Blas M. Benito

Author, Maintainer, Copyright holder · added in 1.1.0

Maintainer since 1.0.1 (2023)

Listed in earlier versions (1)

Blas Benito

no longer listed · 1.0.1

Releases (7)

Pick two releases to compare their code metrics.

3.0.2Latest
record
2026-06-04 · current release · diff ↗
3.0.1
record
2026-05-07 · diff ↗
R
R 4.6.0 released · 2026-04-24
3.0.0
record
2025-12-08 · diff ↗ ·
removed 39 exports
add_white_noise, cor_categorical_vs_categorical, cor_cramer_v, cor_numeric_vs_categorical, cor_numeric_vs_numeric, encoded_predictor_name, f_auc_gam_binomial, f_auc_glm_binomial, f_auc_glm_binomial_poly2, f_auc_rf, f_auc_rpart, f_r2_gam_gaussian, f_r2_gam_poisson, f_r2_glm_gaussian, f_r2_glm_gaussian_poly2, f_r2_glm_poisson, f_r2_glm_poisson_poly2, f_r2_pearson, f_r2_rf, f_r2_rpart, f_r2_spearman, f_v, f_v_rf_categorical, identify_predictors, identify_predictors_categorical, identify_predictors_numeric, identify_predictors_type, identify_predictors_zero_variance, performance_score_auc, performance_score_r2 and 9 more

added 36 exports
collinear_select, collinear_stats, cor_cramer, cor_stats, f_binomial_gam, f_binomial_glm, f_binomial_rf, f_categorical_rf, f_count_gam, f_count_glm, f_count_rf, f_numeric_gam, f_numeric_glm, f_numeric_rf, identify_categorical_variables, identify_logical_variables, identify_numeric_variables, identify_valid_variables, identify_zero_variance_variables, score_auc, score_cramer, score_r2, step_collinear, validate_arg_df, validate_arg_df_not_null, validate_arg_encoding_method, validate_arg_f, validate_arg_function_name, validate_arg_max_cor, validate_arg_max_vif and 6 more
R
R 4.5.0 released · 2025-04-11
2.0.0
record
2024-11-08 · diff ↗ ·
removed 16 exports
auc_score, cramer_v, 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_deviance, f_rf_rsquared, f_rsquared, identify_non_numeric_predictors, identify_numeric_predictors, identify_zero_variance_predictors, target_encoding_rnorm

added 41 exports
cor_categorical_vs_categorical, cor_clusters, cor_cramer_v, cor_numeric_vs_categorical, cor_numeric_vs_numeric, encoded_predictor_name, f_auc_gam_binomial, f_auc_glm_binomial, f_auc_glm_binomial_poly2, f_auc_rf, f_auc_rpart, f_auto, f_auto_rules, f_functions, f_r2_gam_gaussian, f_r2_gam_poisson, f_r2_glm_gaussian, f_r2_glm_gaussian_poly2, f_r2_glm_poisson, f_r2_glm_poisson_poly2, f_r2_pearson, f_r2_rf, f_r2_rpart, f_r2_spearman, f_v, f_v_rf_categorical, identify_predictors, identify_predictors_categorical, identify_predictors_numeric, identify_predictors_type and 11 more
R
R 4.4.0 released · 2024-04-24
1.1.1
record
2023-12-08 · diff ↗
1.1.0
record
2023-11-30 · diff ↗ ·
added 9 exports
auc_score, case_weights, f_gam_auc_balanced, f_gam_auc_unbalanced, f_logistic_auc_balanced, f_logistic_auc_unbalanced, f_rf_auc_balanced, f_rf_auc_unbalanced, f_rf_rsquared
1.0.1
record
2023-10-24
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-10-24
Total releases: 7 / 3 yrs
License: MIT + file LICENSE OSI · relicensed from GPL (>= 3) in 1.1.0
Minimum R: ≥ 4.1.0
Bundled data: 347 KB / 5 files
Download size: 464 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("collinear")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.5281/zenodo.10039396.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for collinear version 3.0.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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