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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>.
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Package details |
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| 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> |
| License | GPL-3 |
| Version | 0.1.5 |
| URL | https://github.com/ingharold-madrid/LGCU |
| Package repository | View on CRAN |
| Installation |
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