rbcc: Risk-Based Control Charts
Implements univariate and multivariate risk-based control
charts for statistical process control in the presence of measurement
uncertainty. Available charts include Shewhart X-bar, R, and S charts,
moving-average charts, exponentially weighted moving-average charts,
cumulative-sum charts, and Hotelling T-squared charts. Chart limits can be
selected by exact empirical threshold optimization, bounded numerical
optimization, or sequential and optional parallel grid search while
minimizing the total cost of four decision outcomes. The methodology is
described by Kosztyan and Katona (2016)
<doi:10.1016/j.eswa.2016.06.019>, Kosztyan and Katona (2018)
<doi:10.1016/j.cie.2018.04.052>, Katona et al. (2023)
<doi:10.1109/ACCESS.2023.3312226>, Saghir et al. (2025)
<doi:10.1016/j.rineng.2025.107278>, and Saghir et al. (2026)
<doi:10.1016/j.rico.2026.100661>.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
ggplot2 (≥ 3.4.0), parallel, PearsonDS, qcc, stats, utils |
| Suggests: |
knitr, rmarkdown |
| Published: |
2026-11-02 |
| DOI: |
10.32614/CRAN.package.rbcc |
| Author: |
Aamir Saghir [aut],
Attila Imre Katona [aut],
Zsolt Tibor Kosztyan [aut, cre] |
| Maintainer: |
Zsolt Tibor Kosztyan <kosztyan.zsolt at gtk.uni-pannon.hu> |
| BugReports: |
https://github.com/kzst/rbcc/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/kzst/rbcc |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
rbcc citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
rbcc results |
Documentation:
Downloads:
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