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autothresholdr

1.4.3Package record

An R Port of the 'ImageJ' Plugin 'Auto Threshold'

4packages depend
13.5Kdownloads / year
95.3%test coverage
13/13flavors OK

Overview

About

Algorithms for automatically finding appropriate thresholds for numerical data, with special functions for thresholding images. Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users. See https://imagej.net/plugins/auto-threshold and Landini et al. (2017) DOI:10.1111/jmi.12474.

Changes in 1.4.3

BUG FIXES

  • purrr::map_chr() should have been a purrr::map_dbl().

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-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
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4.3
README· In the repository, left out of the releaseVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.4.3Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
7
Examples that run
0%3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
43%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
14%

Downloads

13.5K
CRAN downloads in the past year
Rank #3,702 · ~37/day · ~1.1K/mo
Daily download trend is not available in this view yet.
1.1K30 days
2.6K90 days
13.5K1 year
Compare downloads with other packages →
Also on405 r2u38 autocran425 conda_forge

Repository

6Stars
3Forks
0Open issues
0Open PRs
7Releases
179Commits
3Commit identities
License file reads as GPL-3.0 · 179 commits · Last activity 2025-09-25
Responsiveness
How these are sampled
PRs merged (all time)
50%
Median days to close, 50 most recently updated closed issues
13
Median days to close, 50 most recently updated closed PRs
204
PracticesBeta

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

Checks run against github.com/rorynolan/autothresholdr on 2026-10-18.

Continuous integration (3)
GitHub ActionsR CMD check workflowAppVeyor

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

Governance and community (1)
Code of conduct
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-09-25 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 5 practices
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Research and citation (1)
codemeta.json
Automation and maintenance (1)
pre-commit
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen on or before 2025-09-24
    Commits: at least 1 crediting it in the message
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing autothresholdr adds 38 packages (25 with compiled code, 26 MB of source tarballs). Heaviest: stringi 11 MB, ijtiff 2.2 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
4direct
0indirect
Imports 4
Depends, Imports or LinkingTo, most downloaded first

People & History

People (4)
Author, Maintainer since 0.2.0 (2017), Translator
Contributor · added in 0.4.0
Contributor, Copyright holder
Contributor, Thesis advisor · added in 0.4.0
Releases (25)

Pick two releases to compare their code metrics.

Show 20 earlier eventsHide 20 earlier events
  • R
    R 4.0.0 released · 2020-04-24
  • 1.3.5
    record
    2019-07-08 · diff ↗
  • 1.3.4
    record
    2019-06-28 · diff ↗
  • 1.3.3
    record
    2019-06-12 · diff ↗
  • 1.3.2
    record
    2019-05-30 · diff ↗
  • 1.3.1
    record
    2019-05-21 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.3.0
    record
    2018-11-05 · diff ↗
  • 1.2.1
    record
    2018-07-09 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.2.0
    record
    2018-03-25 · diff ↗
  • 1.1.2
    record
    2018-02-13 · diff ↗
  • 1.1.1
    record
    2018-01-28 · diff ↗
  • 1.1.0
    record
    2018-01-23 · diff ↗ ·
    removed 4 exports
    mean_pillars, median_pillars, sum_pillars, var_pillars
    added 6 exports
    apply_mask, arr_mask, mask, stack_threshed_img, th, threshed_arr
  • 0.6.0
    record
    2017-07-06 · diff ↗ ·
    removed 1 export
    CanBeInteger
    added 1 export
    sum_pillars
  • 0.5.0
    record
    2017-05-17 · diff ↗ ·
    removed 5 exports
    MeanPillars, MeanStackThresh, MedStackThresh, MedianPillars, VarPillars
    added 5 exports
    mean_pillars, mean_stack_thresh, med_stack_thresh, median_pillars, var_pillars
  • 0.4.0
    record
    2017-04-23 · diff ↗ ·
    added 5 exports
    MeanPillars, MeanStackThresh, MedStackThresh, MedianPillars, VarPillars
  • R
    R 3.4.0 released · 2017-04-21
  • 0.2.0
    record
    2017-02-24
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-02-24
Total releases
25 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Download size
795 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("autothresholdr")

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

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for autothresholdr version 1.4.3 [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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