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:
Markovchart_2.1.5.tar.gz
Markovchart_2.1.5.tar.gz(r-4.5-noble)Markovchart_2.1.5.tar.gz(r-4.4-noble)
Markovchart_2.1.5.tgz(r-4.4-emscripten)Markovchart_2.1.5.tgz(r-4.3-emscripten)
Markovchart.pdf |Markovchart.html✨
Markovchart/json (API)
# Install 'Markovchart' in R: |
install.packages('Markovchart', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:142950bc77. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 12 2024 |
R-4.5-linux | NOTE | Dec 12 2024 |
Exports:MarkovchartMarkovsimMarkovstat
Dependencies:backportscachemcheckmateclassclassIntclicodetoolscolorspacecpp11data.tableDBIdigestdoParallele1071fansifarverfastmapforeachFormulaformula.toolsgenericsggplot2gluegtableisobanditeratorsKernSmoothlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemetRmgcvmunsellnlmeoperator.toolsoptimParallelpillarpkgconfigplyrproxypurrrR6RColorBrewerRcpprlangs2scalessfstringistringrtibbletimechangeunitsutf8vctrsviridisLitewithrwk