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Implementation of Learning Gamma CUSUM (Cumulative Sum) Control Charts

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements Cumulative Sum (CUSUM) control charts specifically designed for monitoring processes following a Gamma distribution. Provides functions to estimate distribution parameters, simulate control limits, and apply cautious learning schemes for adaptive thresholding. It supports upward and downward monitoring with guaranteed performance evaluated via Monte Carlo simulations. It is useful for quality control applications in industries where data follows a Gamma distribution. Methods are based on Madrid-Alvarez et al. (2024) doi:10.1002/qre.3464 and Madrid-Alvarez et al. (2024) doi:10.1080/08982112.2024.2440368.

Changes in 0.1.5

🔧 Improvements

  • Added missing contributors in the Authors@R section of DESCRIPTION.
  • No functional changes were made.

---

**Note:** This is a minor update to correctly attribute all contributors.

The package functionality remains unchanged.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.5
READMEYes · 378 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.5Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
71%10 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.1K
CRAN downloads in the past year
Rank #21,866 · ~6/day · ~176/mo
Daily download trend is not available in this view yet.
22930 days
60390 days
2.1K1 year
Compare downloads with other packages →
Also on344 r2u3 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2025-03-16
Responsiveness
not measured
PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ingharold-madrid/lgcu on 2026-10-18.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing LGCU adds 2 packages (1 with compiled code, 2.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, tictoc 516 KB.

Depends (1)
R >= 4.0.0
Imports (3)
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer · added in 0.1.5
Author · added in 0.1.5
Author · added in 0.1.5

Maintainer since 0.1.2 (2025)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.5Latest
    record
    2025-03-17 · current release · diff ↗
  • 0.1.4
    record
    2025-03-11 · diff ↗
  • 0.1.2
    record
    2025-03-10
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-03-10
Total releases
3 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Download size
28 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LGCU")
Madrid-Alvarez, H. M., Garcia-Diaz, J. C., & Tercero-Gomez, V. G. (2025). LGCU: Implementation of Learning Gamma CUSUM (Cumulative Sum) Control Charts (Version 0.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.LGCU

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LGCU version 0.1.5 [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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