Markovchart
Markov Chain-Based Cost-Optimal Control Charts
Description
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>.
Downloads
256
Last 30 days
12458th
256
Last 90 days
256
Last year
CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | NOTE |
| r-devel-windows-x86_64 | NOTE |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | NOTE |
| r-release-linux-x86_64 | NOTE |
| r-release-macos-arm64 | NOTE |
| r-release-macos-x86_64 | NOTE |
| r-release-windows-x86_64 | NOTE |
Check details (16 non-OK)
CRAN incoming feasibility
Maintainer: ‘Balazs Dobi <dobibalazs@inf.elte.hu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Balazs", "Dobi", "&", "Andras"),
family = "Zempleni",
role = "aut"),
person(given = "Balazs",
family = "Dobi",
role = "cre",
email = "dobibalazs@inf.elte.hu"))
as necessary.
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
CRAN incoming feasibility
Maintainer: ‘Balazs Dobi <dobibalazs@inf.elte.hu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Balazs", "Dobi", "&", "Andras"),
family = "Zempleni",
role = "aut"),
person(given = "Balazs",
family = "Dobi",
role = "cre",
email = "dobibalazs@inf.elte.hu"))
as necessary.
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
CRAN incoming feasibility
Maintainer: ‘Balazs Dobi <dobibalazs@inf.elte.hu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Balazs", "Dobi", "&", "Andras"),
family = "Zempleni",
role = "aut"),
person(given = "Balazs",
family = "Dobi",
role = "cre",
email = "dobibalazs@inf.elte.hu"))
as necessary.
CRAN incoming feasibility
Maintainer: ‘Balazs Dobi <dobibalazs@inf.elte.hu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Balazs", "Dobi", "&", "Andras"),
family = "Zempleni",
role = "aut"),
person(given = "Balazs",
family = "Dobi",
role = "cre",
email = "dobibalazs@inf.elte.hu"))
as necessary.
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|
Rd files
checkRd: (-1) Markovchart.Rd:154: Lost braces
154 | If either \code{h} or \code{k} have length greater than 1, then the \code{G-value} (weighted average of average cost and cost standard deviation) is calculated for all given values without optimisation. The value of the function in this case is a data frame of class code{Markov_grid} with \code{length(h)*length(k)} number of rows and three columns for \code{h}, \code{k} and the \code{G-value}.
|