{ "_id": "6a0f7592acfb0bcc41c6182e", "Package": "Markovchart", "Type": "Package", "Title": "Markov Chain-Based Cost-Optimal Control Charts", "Version": "2.1.5", "Author": "Balazs Dobi & Andras Zempleni", "Maintainer": "Balazs Dobi ", "Description": "Functions for cost-optimal control charts with a focus on\nhealth care applications. Compared to assumptions in\ntraditional control chart theory, here, we allow random shift\nsizes, random repair and random sampling times. The package\nfocuses on X-bar charts with a sample size of 1 (representing\nthe monitoring of a single patient at a time). The methods are\ndescribed in Zempleni et al. (2004) ,\nDobi and Zempleni (2019) and Dobi and\nZempleni (2019)\n.", "License": "GPL", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 06:27:38 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-04-09 22:22:36 UTC", "RemoteUrl": "https://github.com/cran/Markovchart", "RemoteRef": "HEAD", "RemoteSha": "142950bc77037ac8678d12121c8c6a904bb2025a", "MD5sum": "2d6e857dfdc7e27d89e43419f278e807", "_user": "cran", "_type": "src", "_file": "Markovchart_2.1.5.tar.gz", "_fileid": "2730a49d5d985728a04ee9d5d51f8804f2269fb34064e81ce465c35def6f7905", "_filesize": 1603745, "_sha256": "2730a49d5d985728a04ee9d5d51f8804f2269fb34064e81ce465c35def6f7905", "_created": "2026-05-21T06:27:38.000Z", "_published": "2026-05-21T21:13:54.428Z", "_distro": "noble", "_jobs": [ { "job": 77269856119, "time": 146, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7128751868" }, { "job": 77269856166, "time": 153, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7128753625" }, { "job": 77269855963, "time": 337, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7128712046" }, { "job": 77269855691, "time": 141, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7147349629" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26209209701", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/Markovchart", "_commit": { "id": "142950bc77037ac8678d12121c8c6a904bb2025a", "author": "Balazs Dobi ", "committer": "cran-robot ", "message": "version 2.1.5\n", "time": 1649542956 }, "_maintainer": { "name": "Balazs Dobi", "email": "dobibalazs@inf.elte.hu" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "doParallel", "role": "Imports" }, { "package": "optimParallel", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "metR", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "kableExtra", "role": "Suggests" }, { "package": "gridExtra", "role": "Suggests" }, { "package": "reshape2", "role": "Suggests" }, { "package": "zoo", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 235, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Markovchart" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/Markovchart.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0.6", "date": "2020-03-15" }, { "version": "1.1.0", "date": "2020-11-07" }, { "version": "1.1.1", "date": "2020-12-16" }, { "version": "2.0.0", "date": "2021-04-23" }, { "version": "2.0.1", "date": "2021-05-08" }, { "version": "2.1.3", "date": "2021-10-10" }, { "version": "2.1.4", "date": "2021-11-01" }, { "version": "2.1.5", "date": "2022-04-10" } ], "_exports": [ "Markovchart", "Markovsim", "Markovstat" ], "_datasets": [ { "name": "diabetes", "title": "Pseudonymised and randomised time series dataset of diabetes patients for control chart applications", "object": "diabetes", "file": "diabetes.RData", "class": [ "data.frame" ], "fields": [ "ID", "DATE", "AGE", "THERAPY", "THERAPY_COST_EUR", "HEALTHCARE_BURDEN_EUR", "HBA1C_AVG", "HBA1C_SD", "SAMPLING_IN_MONTH", "ICD", "THERAPY_VECTOR" ], "rows": 87598, "table": true, "tojson": true }, { "name": "LDL", "title": "Aggregated low-density-lipoprotein patient data for control chart applications", "object": "LDL", "file": "LDL.RData", "class": [ "data.frame" ], "fields": [ "target_value", "standard_deviation", "expected_shift_size", "num_exp_daily_shifts", "rep_size_first", "rep_size_second", "samp_prob_first", "samp_prob_second", "sampling_cost", "OOC_cost", "base_rep_cost", "prop_rep_cost" ], "rows": 1, "table": true, "tojson": true } ], "_help": [ { "page": "diabetes", "title": "Pseudonymised and randomised time series dataset of diabetes patients for control chart applications", "topics": [ "diabetes" ] }, { "page": "LDL", "title": "Aggregated low-density-lipoprotein patient data for control chart applications", "topics": [ "LDL" ] }, { "page": "Markovchart", "title": "Cost-efficient X-bar control charts with fixed/random shift size, random repair and random sampling time.", "topics": [ "Markovchart" ] }, { "page": "Markovsim", "title": "Progression and monitoring simulation of a process with random shift size, random repair and random sampling time.", "topics": [ "Markovsim" ] }, { "page": "Markovstat", "title": "Stationary distribution calculation for processes with fixed/random shift size, random repair and random sampling time.", "topics": [ "Markovstat" ] }, { "page": "plot.Markov_grid", "title": "Contour plot for 'Markov_grid' control chart results.", "topics": [ "plot.Markov_grid" ] } ], "_rundeps": [ "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" ], "_vignettes": [ { "source": "Applications.Rmd", "filename": "Applications.html", "title": "Application examples for the Markovchart R package", "author": "Balázs Dobi", "engine": "knitr::rmarkdown", "headings": [ "Low-density lipoprotein analysis", "Optimisation using only the cost expectation", "Optimisation using cost expectation and cost standard deviation", "Sensitivity Analysis", "Glycated haemoglobin", "Patient data", "Parameter estimation", "Stationary distribution and cost estimation with the Markovchart function", "References" ], "created": "2021-10-10 21:00:02", "modified": "2021-11-01 18:40:02", "commits": 2 } ], "_score": 2, "_indexed": true, "_nocasepkg": "markovchart", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.1.5", "date": "2026-05-21T06:29:51.000Z", "distro": "noble", "commit": "142950bc77037ac8678d12121c8c6a904bb2025a", "fileid": "9947a1772b5cca5ce3dbaca24db042b85b6cc8dd93f5c3c541a8998c71137bf5", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26209209701" }, { "r": "4.6.0", "os": "linux", "version": "2.1.5", "date": "2026-05-21T06:29:57.000Z", "distro": "noble", "commit": "142950bc77037ac8678d12121c8c6a904bb2025a", "fileid": "ba27b0306dea3a85139a191843d31002bfed5052dee41efd1009369590ee9108", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26209209701" }, { "r": "4.6.0", "os": "wasm", "version": "2.1.5", "date": "2026-05-21T21:13:33.000Z", "commit": "142950bc77037ac8678d12121c8c6a904bb2025a", "fileid": "c4a5932b78dd5615fe5a34537c7450aa553ac78d45f9a4899987dd6e305f3ced", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26209209701" } ] }