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: 2.1.5 Depends: R (≥ 3.5.0) Imports: stats, parallel, doParallel, optimParallel, foreach, ggplot2, metR Suggests: knitr, kableExtra, gridExtra, reshape2, zoo Published: 2022-04-09 DOI: 10.32614/CRAN.package.Markovchart Author: Balazs Dobi & Andras Zempleni Maintainer: Balazs Dobi <dobibalazs at inf.elte.hu> License: GPL-2 | GPL-3 [expanded from: GPL] NeedsCompilation: no CRAN checks: Markovchart results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Markovchart to link to this page.
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