Markovchart: Markov Chain-Based Cost-Optimal Control Charts

Package: Markovchart 2.1.5

Balazs Dobi

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>.

Authors:Balazs Dobi & Andras Zempleni

Markovchart_2.1.5.tar.gz
Markovchart_2.1.5.tar.gz(r-4.7-any)Markovchart_2.1.5.tar.gz(r-4.6-any)
Markovchart_2.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Markovchart/json (API)

# Install 'Markovchart' in R:

install.packages('Markovchart', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

diabetes - Pseudonymised and randomised time series dataset of diabetes patients for control chart applications
LDL - Aggregated low-density-lipoprotein patient data for control chart applications

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 321 downloads 3 exports 53 dependencies

Last updated from:142950bc77. Checks:2 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	127
source / vignettes	OK	391
linux-release-x86_64	NOTE	139
wasm-release	OK	118

Exports:Markovchart Markovsim Markovstat

Dependencies:backports cachem checkmate class classInt cli codetools cpp11 data.table DBI digest doParallel e1071 farver fastmap foreach Formula formula.tools generics ggplot2 glue gtable isoband iterators KernSmooth labeling lifecycle lubridate magrittr MASS memoise metR operator.tools optimParallel plyr proxy purrr R6 RColorBrewer Rcpp rlang s2 S7 scales sf stringi stringr timechange units vctrs viridisLite withr wk

Application examples for the Markovchart R package

Rendered fromApplications.Rmdusingknitr::rmarkdown

Help page	Topics
Pseudonymised and randomised time series dataset of diabetes patients for control chart applications	diabetes
Aggregated low-density-lipoprotein patient data for control chart applications	LDL
Cost-efficient X-bar control charts with fixed/random shift size, random repair and random sampling time.	Markovchart
Progression and monitoring simulation of a process with random shift size, random repair and random sampling time.	Markovsim
Stationary distribution calculation for processes with fixed/random shift size, random repair and random sampling time.	Markovstat
Contour plot for 'Markov_grid' control chart results.	plot.Markov_grid

Help page

Topics

Pseudonymised and randomised time series dataset of diabetes patients for control chart applications

diabetes

Aggregated low-density-lipoprotein patient data for control chart applications

LDL

Cost-efficient X-bar control charts with fixed/random shift size, random repair and random sampling time.

Markovchart

Progression and monitoring simulation of a process with random shift size, random repair and random sampling time.

Markovsim

Stationary distribution calculation for processes with fixed/random shift size, random repair and random sampling time.

Markovstat