R Observatory: Metrics for fastGLCM version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fastGLCM

1.0.3Package record

'GLCM' Texture Features

0packages depend

6.1Kdownloads / year

29.2%test coverage

13/13flavors OK

Overview

About

Maintained by Lampros MouselimisCRAN page ↗GitHub ↗Issues ↗

Two 'Gray Level Co-occurrence Matrix' ('GLCM') implementations are included: The first is a fast 'GLCM' feature texture computation based on 'Python' 'Numpy' arrays ('Github' Repository, https://github.com/tzm030329/GLCM). The second is a fast 'GLCM' 'RcppArmadillo' implementation which is parallelized (using 'OpenMP') with the option to return all 'GLCM' features at once. For more information, see "Artifact-Free Thin Cloud Removal Using Gans" by Toizumi Takahiro, Zini Simone, Sagi Kazutoshi, Kaneko Eiji, Tsukada Masato, Schettini Raimondo (2019), IEEE International Conference on Image Processing (ICIP), pp. 3596-3600, doi:10.1109/ICIP.2019.8803652.

Changes in 1.0.3

I updated the Makevars and Makevars.win files by adding -DARMA_USE_CURRENT (see issue: https://github.com/RcppCore/RcppArmadillo/issues/476)
I removed the -mthreads compilation option from the "Makevars.win" file
I removed the "CXX_STD = CXX11" from the "Makevars" files, and the "[[Rcpp::plugins(cpp11)]]" from the "fastglcm.cpp" file due to the following NOTE from CRAN, "NOTE Specified C++11: please drop specification unless essential" (see also: https://www.tidyverse.org/blog/2023/03/cran-checks-compiled-code/#note-regarding-systemrequirements-c11)

From NEWS.md in the release

Install

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

install.packages("fastGLCM", 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("mlampros/fastGLCM")

Development version from mlampros/fastGLCM. 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-fastglcm

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-fastGLCM

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-fastGLCM

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: 3.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMEYes · 349 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.3Citation fileYes · cites a publication

Help pages: 5 (2 internal)
Examples that run: 50%1 run in a plain check · 1 never run
Exported functions with examples: 67%
Documented parameters: 100%
Return-value docs: 67%
Help pages citing references: 40%

Vignettes (1)

Functionality of the fastGLCM R package HTML

How these are measured

Downloads

6.1K

CRAN downloads in the past year

Rank #7,836 · ~17/day · ~509/mo

Releases R versions

Daily download trend is not available in this view yet.

39830 days

1.2K90 days

6.1K1 year

Compare downloads with other packages →

Also on399 r2u4 autocran

How downloads are counted

Repository

mlampros/fastglcm ↗Account: mlampros

5Stars

1Forks

0Open issues

3Open PRs

0Releases

42Commits

2Commit identities

glcmrrcpparmadillo

42 commits · Last activity 2025-10-01

Responsiveness

How these are sampled

PRs merged (all time): 0%
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: 31

Stars over time

2025-01-27 · 42026-07-07 · 5

How these are measured

PracticesBeta

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

Checks run against github.com/mlampros/fastglcm on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Governance and community (3)

Issue templates

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

pkgdown

GitHub Pages site last deployed 2025-10-01 · The repository has a site deploy workflow

Reproducibility and dev environment (1)

Dockerfile

Show all practicesHide 1 practice

Automation and maintenance (1)

Dependabot

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing fastGLCM adds 35 packages (24 with compiled code, 30 MB of source tarballs). Heaviest: bslib 5.6 MB, OpenImageR 3.6 MB, promises 3.1 MB.

Depends (1)

R >= 3.2.3

Imports (5)

Rcpp R6 rlang OpenImageRutils

LinkingTo (3)

Rcpp RcppArmadillo OpenImageR

Suggests (5)

reticulate covr knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Lampros Mouselimis

Author, Maintainer since 1.0.0 (2022)

Takahiro Toizumi

Copyright holder

Author of the fastGLCM Python code

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.3Latest
record
2025-09-14 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.2
record
2022-09-25 · diff ↗
unarchivedReturned to CRAN
2022-09-04
archivedRemoved from CRAN
2022-09-04
issues were not corrected in time
1.0.1
record
2022-09-04 · diff ↗
1.0.0
record
2022-08-15
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-08-15
Total releases: 4 / 4 yrs
License: GPL-3 OSI
Copyright: inst/COPYRIGHTS
Minimum R: ≥ 3.2.3
Download size: 4.5 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastGLCM")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 fastGLCM version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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