Functions for cost-optimal control charts with a focus on health care applications. Compared to assumptions in traditional control chart theory, here, we allow random shift sizes, random repair and random sampling times. The package focuses on X-bar charts with a sample size of 1 (representing the monitoring of a single patient at a time). The methods are described in Zempleni et al. (2004) <doi:10.1002/asmb.521>, Dobi and Zempleni (2019) <doi:10.1002/qre.2518> and Dobi and Zempleni (2019) <http://ac.inf.elte.hu/Vol_049_2019/129_49.pdf>.
| Version: | 1.0.6 |
| Imports: | stats, parallel, doParallel, optimParallel, foreach, ggplot2, metR |
| Published: | 2020-03-15 |
| Author: | Balazs Dobi & Andras Zempleni |
| Maintainer: | Balazs Dobi <dobib at cs.elte.hu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | Markovchart results |
| Reference manual: | Markovchart.pdf |
| Package source: | Markovchart_1.0.6.tar.gz |
| Windows binaries: | r-devel: Markovchart_1.0.6.zip, r-release: Markovchart_1.0.6.zip, r-oldrel: Markovchart_1.0.6.zip |
| macOS binaries: | r-release: Markovchart_1.0.6.tgz, r-oldrel: Markovchart_1.0.6.tgz |
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