Markovchart: Markov Chain-Based Cost-Optimal Control Charts

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
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:

Reference manual:	Markovchart.pdf
Vignettes:	Application examples for the Markovchart R package

Downloads:

Package source:	Markovchart_2.1.5.tar.gz
Windows binaries:	r-devel: Markovchart_2.1.5.zip, r-release: Markovchart_2.1.5.zip, r-oldrel: Markovchart_2.1.5.zip
macOS binaries:	r-release (arm64): Markovchart_2.1.5.tgz, r-oldrel (arm64): Markovchart_2.1.5.tgz, r-release (x86_64): Markovchart_2.1.5.tgz, r-oldrel (x86_64): Markovchart_2.1.5.tgz
Old sources:	Markovchart archive

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