R Observatory: Metrics for probably version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

probably

1.2.0

Tools for Post-Processing Predicted Values

12packages depend

82.6Kdownloads / year

93.9%test coverage

13/13checks pass

Overview

About

Maintained by Max KuhnFirst published 2018-12-1814 releasesCRAN page ↗GitHub ↗

Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.

Install

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

install.packages("probably", 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/probably")

Development version from tidymodels/probably. 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-probably

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-probably

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-probably

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

Health

CRAN checks

13OK

Slowest check: 9.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.69

93.9%

Coverage · measured lines

100%

Documentation · exports

17

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-07
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 246 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 57%
References docs: 13%

Downloads

82.6K

CRAN downloads in the past year

Rank #1,636 · ~226/day · ~6.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

4K30 days

14.8K90 days

82.6K1 year

Compare downloads with other packages →

Also on1.3K r2u18 autocran3K conda_forge

Repository

GitHub ↗ tidymodels/probably

122Stars

16Forks

25Open issues

0Open PRs

13Releases

392Commits

11Contributors

392 commits · Last activity 2026-08-13 · 0% stars, 30d

Stars over time

2025-07-09 · 1202026-07-07 · 122

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/probably on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

revdep/

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

28 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (17)

butcher cli dplyr furrr generics ggplot2 hardhat pillar purrr rlang tidyr tidyselect tune vctrs withr workflows yardstick

LinkingTo (0)

none

Suggests (14)

betacal covr knitrMASSmgcvmodeldatannetparsnip quantregForest randomForest recipes rmarkdown rsample testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

12direct

0indirect

fastml joinery kerasnip marginaleffects orbital predictset propensity tailor tune vetiver workflows yardstick

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Max Kuhn

Author, Maintainer

Authors (3)

Max Kuhn

Author, Maintainer

Edgar Ruiz

Author · added in 1.0.0

Davis Vaughan

Author

Copyright holders (1)

Posit Software, PBC

Copyright holder, Funder · added in 1.0.0

Funders (1)

Posit Software, PBC

Copyright holder, Funder · added in 1.0.0

Listed in earlier versions (1)

RStudio

no longer listed · 0.0.1 to 0.1.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.2.0Latest
2025-10-16 · current release · diff ↗
1.1.1
2025-07-30 · diff ↗
1.1.0
2025-05-21 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.3
2024-02-23 · diff ↗
1.0.2
2023-06-29 · diff ↗
1.0.1
2023-06-22 · diff ↗
1.0.0
2023-06-02 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1.0
2022-08-29 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.0.6
2020-06-05 · diff ↗
0.0.5
2020-05-14 · diff ↗

Show 7 earlier events

R
R 4.0.0 released · 2020-04-24
0.0.4
2020-01-13 · diff ↗
0.0.3
2019-07-08 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.0.2
2019-03-07 · diff ↗
0.0.1
2018-12-18
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-18
Total releases: 14 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 73 KB / 5 files
Download size: 1.2 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("probably")

Format

Kuhn, M., Posit Software, PBC, Ruiz, E., & Vaughan, D. (2025). probably: Tools for Post-Processing Predicted Values (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.probably

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 probably version 1.2.0 [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.

Report a problem with this page →