LGCU: Implementation of Learning Gamma CUSUM (Cumulative Sum) Control Charts

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>.

Version:	0.1.4
Depends:	R (≥ 4.0.0)
Imports:	MASS, Rcpp, tictoc
LinkingTo:	Rcpp
Published:	2025-03-11
Author:	Harold Manuel Madrid-Alvarez [aut, cre]
Maintainer:	Harold Manuel Madrid-Alvarez <harold.madrid at unisimon.edu.co>
BugReports:	https://github.com/ingharold-madrid/LGCU/issues
License:	GPL-3
URL:	https://github.com/ingharold-madrid/LGCU
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	LGCU results

Documentation:

Reference manual:

LGCU.pdf

Downloads:

Package source:	LGCU_0.1.4.tar.gz
Windows binaries:	r-devel: not available, r-release: LGCU_0.1.2.zip, r-oldrel: not available
macOS binaries:	r-devel (arm64): LGCU_0.1.4.tgz, r-release (arm64): LGCU_0.1.4.tgz, r-oldrel (arm64): LGCU_0.1.4.tgz, r-devel (x86_64): LGCU_0.1.4.tgz, r-release (x86_64): LGCU_0.1.4.tgz, r-oldrel (x86_64): LGCU_0.1.4.tgz
Old sources:	LGCU archive

Linking:

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