Package: LGCU
Title: Implementation of Learning Gamma CUSUM (Cumulative Sum) Control
        Charts
Version: 0.1.5
Authors@R: c(person("Harold Manuel", "Madrid-Alvarez", email = "harold.madrid@unisimon.edu.co", role = c("aut", "cre")),
  person("Victor Gustavo", "Tercero-Gomez", email = "victor.tercero@tec.mx", role = "aut"),
  person("Juan Carlos", "Garcia-Diaz", email = "juagardi@eio.upv.es", role = "aut"))
Description: 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>.
Depends: R (>= 4.0.0)
Imports: MASS, Rcpp, tictoc
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
URL: https://github.com/ingharold-madrid/LGCU
BugReports: https://github.com/ingharold-madrid/LGCU/issues
Repository: https://ingharold-madrid.r-universe.dev
Date/Publication: 2025-03-16 21:07:17 UTC
RemoteUrl: https://github.com/ingharold-madrid/lgcu
RemoteRef: HEAD
RemoteSha: ac252ef8cfba919e35dbcdc821817533a45b0a7a
NeedsCompilation: yes
Packaged: 2026-09-26 10:09:06 UTC; root
Author: Harold Manuel Madrid-Alvarez [aut, cre],
  Victor Gustavo Tercero-Gomez [aut],
  Juan Carlos Garcia-Diaz [aut]
Maintainer: Harold Manuel Madrid-Alvarez <harold.madrid@unisimon.edu.co>