R Observatory: Metrics for filtro version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

filtro

0.2.0Package record

Feature Selection Using Supervised Filter-Based Methods

1packages depend

3.3Kdownloads / year

86.1%test coverage

11/13flavors OK

Overview

About

Maintained by Frances LinCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Posit Software, PBC

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).

Changes in 0.2.0

Added five new scoring methods: correlation, random forest feature importance, information gain, area under the ROC curve, and cross tabulation filters.
Transitioned from S3 to S7 and refactored S7 for improved clarity, maintainability, and performance.
Added multiple new functions to support ranking of single score. show_best_score_prop(), show_best_score_num(), show_best_score_cutoff(), show_best_score_dual(), rank_best_score_min() and rank_best_score_dense() can be used to select and rank single score.
Added two new functions to support ranking of multiple scores. show_best_desirability_prop() and show_best_desirability_num() can be used for multiparameter optimization via desirability functions.
Added multiple utility functions to support handling of both single and multiple scores: arrange_score(), fill_safe_value(), bind_scores(), and fill_safe_values().

From NEWS.md in the release

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. 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-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). 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

2NOTE11OK

Check messages

NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Rd files without \usage:
  ‘arrange_score.Rd’ ‘bind_scores.Rd’ ‘fill_safe_value.Rd’
  ‘fill_safe_values.Rd’ ‘show_best_score_cutoff.Rd’
  ‘show_best_score_dual.Rd’ ‘show_best_score_num.Rd’
  ‘show_best_score_prop.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

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

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 1 NOTE2026-07-11
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 282 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsiteYes · pkgdown

Help pages: 24 (3 internal)includes a package overview page
Examples that run: 100%20 run in a plain check (19 of them under a condition)
Exported functions with examples: 86%
Documented parameters: 83%
Return-value docs: 91%
Help pages citing references: 0%

Vignettes (2)

Introduction to filtro HTML
Scoring via random forests HTML

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #10,413 · ~9/day · ~279/mo

Releases R versions

Daily download trend is not available in this view yet.

38430 days

97990 days

3.3K1 year

Compare downloads with other packages →

Also on56 r2u9 autocran

How downloads are counted

Repository

tidymodels/filtro ↗Organization: tidymodels

7Stars

2Forks

24Open issues

4Open PRs

2Releases

108Commits

3Commit identities

108 commits · Last activity 2025-08-26 · Default branch at 0.2.0.9000, ahead of CRAN 0.2.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 88%
Median days to close, 50 most recently updated closed issues: 7
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-09-14 · 72026-07-07 · 7

How these are measured

PracticesBeta

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

Checks run against github.com/tidymodels/filtro on 2026-10-18.

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 2025-08-26 · The repository has a site deploy workflow

pkgdown site last built 2025-08-26

Coverage (1)

Coverage reporting (Codecov)

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (3)

AirVS CodeRStudio project

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

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing filtro adds 24 packages (15 with compiled code, 21 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, vctrs 1.0 MB.

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

Imports 1

Depends, Imports or LinkingTo, most downloaded first

important

How these are counted

Code & Tests

Datasets

People & History

People (4)

Frances Lin

Author, Maintainer since 0.1.0 (2025)

Emil Hvitfeldt

Author

Max Kuhn

Author

Posit Software, PBC

Copyright holder, Funder

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2.0Latest
record
2025-08-26 · current release · diff ↗ ·
removed 3 exports
get_scores_aov, new_score_obj, score_aov

added 36 exports
arrange_score, bind_scores, class_score, class_score_aov, class_score_cor, class_score_imp_rf, class_score_info_gain, class_score_list, class_score_roc_auc, class_score_xtab, dont_log_pvalues, fill_safe_value, fill_safe_values, fit, rank_best_score_dense, rank_best_score_min, required_pkgs, score_aov_fstat, score_aov_pval, score_cor_pearson, score_cor_spearman, score_gain_ratio, score_imp_rf, score_imp_rf_conditional, score_imp_rf_oblique, score_info_gain, score_roc_auc, score_sym_uncert, score_xtab_pval_chisq, score_xtab_pval_fisher and 6 more
0.1.0
record
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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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