R Observatory: Metrics for filtro version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

filtro

0.2.0

Feature Selection Using Supervised Filter-Based Methods

1packages depend

3.1Kdownloads / year

86.1%test coverage

11/13checks pass

Overview

About

Maintained by Frances LinFirst published 2025-07-182 releasesCRAN page ↗GitHub ↗

Tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, and importance scores (Kuhn and Johnson (2019) doi:10.1201/9781315108230).

Install

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

install.packages("filtro", 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("tidymodels/filtro")

Development version from tidymodels/filtro. 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-filtro

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-filtro

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-filtro

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 4.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.66

86.1%

Coverage · measured lines

100%

Documentation · exports

12

Dependencies · direct

Check history

NOTE2026-07-11
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 282 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 83%
Return-value docs: 91%
References docs: 0%

Downloads

3.1K

CRAN downloads in the past year

Rank #13,491 · ~8/day · ~257/mo

Releases R versions

Daily download trend is not available in this view yet.

20730 days

75190 days

3.1K1 year

Compare downloads with other packages →

Also on84 r2u17 autocran

Repository

GitHub ↗ tidymodels/filtro

7Stars

1Forks

24Open issues

3Open PRs

2Releases

108Commits

3Contributors

108 commits · Last activity 2025-09-05 · 0% stars, 30d

Stars over time

2025-08-15 · 52026-07-07 · 7

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/tidymodels/filtro on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (3)

AirVS CodeRStudio project

Show all practices

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (12)

cli desirability2 dplyr generics pROC purrr rlang S7statstibble tidyr vctrs

LinkingTo (0)

none

Suggests (10)

aorsf FSelectorRcpp knitr modeldata partykit quarto ranger rmarkdown testthat titanic

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

important

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Frances Lin

Author, Maintainer

Authors (3)

Frances Lin

Author, Maintainer

Emil Hvitfeldt

Author

Max Kuhn

Author

Copyright holders (1)

Posit Software, PBC

Copyright holder, Funder

Funders (1)

Posit Software, PBC

Copyright holder, Funder

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.2.0Latest
2025-08-26 · current release · diff ↗
0.1.0
2025-07-18
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-07-18
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 0.5 KB / 1 file
Download size: 125 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("filtro")

Format

Lin, F., Posit Software, PBC, Hvitfeldt, E., & Kuhn, M. (2025). filtro: Feature Selection Using Supervised Filter-Based Methods (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.filtro

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 filtro version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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