{ "_id": "6a101f0cacfb0bcc41c8af2b", "Package": "shewhartr", "Type": "Package", "Title": "Statistical Process Control with Tidyverse-Native Workflows", "Version": "1.3.0", "Authors@R": "c(\nperson(\"André\", \"Leite\", , \"leite@castlab.org\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Hugo\", \"Vasconcelos\", , \"hugo.vasconcelos@ufpe.br\",\nrole = \"aut\"),\nperson(\"Raydonal\", \"Ospina\", , \"raydonal@castlab.org\", role = \"aut\"),\nperson(\"Cristiano\", \"Ferraz\", , \"cferraz@castlab.org\", role = \"aut\"),\nperson(\"Castlab\", role = c(\"cph\", \"fnd\"))\n)", "Description": "A comprehensive toolkit for Statistical Process Control\n(SPC) that combines the rigor of classical Shewhart methodology\nwith modern tidyverse-native interfaces. Provides classical\ncontrol charts for variables (I-MR, Xbar-R, Xbar-S) and\nattributes (p, np, c, u), as well as regression-based control\ncharts for processes with trend. Includes Nelson runs tests,\nAverage Run Length (ARL) simulation, process capability indices\nwith bootstrap confidence intervals, Box-Cox transformation\nguidance, and a clean Phase I / Phase II workflow. All chart\nobjects integrate with broom via 'tidy', 'glance' and 'augment'\nmethods. References: Shewhart (1931, ISBN:0-87389-076-0);\nMontgomery (2019, ISBN:978-1-119-39930-8); Nelson (1984)\n; Woodall (2000)\n; Box & Cox (1964)\n.", "License": "GPL-3", "URL": "https://castlaboratory.github.io/shewhartr/,\nhttps://github.com/castlaboratory/shewhartr", "BugReports": "https://github.com/castlaboratory/shewhartr/issues", "Encoding": "UTF-8", "LazyData": "true", "Config/testthat/edition": "3", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://castlaboratory.r-universe.dev", "Date/Publication": "2026-05-09 00:58:43 UTC", "RemoteUrl": "https://github.com/castlaboratory/shewhartr", "RemoteRef": "HEAD", "RemoteSha": "d302b1b65662f91278b578c98619ca7cea2f75c9", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-14 07:03:34 UTC", "User": "root" }, "Author": "André Leite [aut, cre],\nHugo Vasconcelos [aut],\nRaydonal Ospina [aut],\nCristiano Ferraz [aut],\nCastlab [cph, fnd]", "Maintainer": "André Leite ", "MD5sum": "6a0092a8f0e1abb7345319c89f3ee0c7", "_user": "castlaboratory", "_type": "src", "_file": "shewhartr_1.3.0.tar.gz", "_fileid": "1cec9273d8b6b79f52500a6b57e5463c91c0dd947b745764d40d8438d6191cc9", "_filesize": 2126006, "_sha256": "1cec9273d8b6b79f52500a6b57e5463c91c0dd947b745764d40d8438d6191cc9", "_created": "2026-05-14T07:03:34.000Z", "_published": "2026-05-22T09:17:00.227Z", "_distro": "noble", "_jobs": [ { "job": 77350964210, "time": 157, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6989071737" }, { "job": 77350964570, "time": 155, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6989069571" }, { "job": 77350964080, "time": 169, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6989067163" }, { "job": 77350964232, "time": 214, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6989071292" }, { "job": 77350963566, "time": 257, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6989027688" }, { "job": 77350963722, "time": 129, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7157050143" }, { "job": 77350964666, "time": 103, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6989055408" }, { "job": 77350964646, "time": 115, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "6989058843" }, { "job": 77350964308, "time": 119, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "6989059393" } ], "_buildurl": "https://github.com/r-universe/castlaboratory/actions/runs/25846658991", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/castlaboratory/shewhartr", "_commit": { "id": "d302b1b65662f91278b578c98619ca7cea2f75c9", "author": "André Leite ", "committer": "André Leite ", "message": "Add Perla et al. (2020) and Ferraz et al. (2020) to pkgdown references\n\nBoth papers are part of the package's intellectual lineage (the\nregression-chart-with-phase-detection design inherits the three-phase\nhybrid C/I chart from Perla et al.; the cvd_recife dataset and the\nlegacy we_seven_same rule come from Ferraz et al.) but neither was\nlisted on the website. Added to the three pages where they are\nmost load-bearing:\n\n- vignettes/covid-recife.Rmd\n This case study is a direct reconstruction of both papers'\n methodology. The prose already credited Ferraz et al. for the\n original analysis settings, but the bottom-of-page reference\n list omitted both. Each new entry carries a short trailing note\n explaining what the citation contributes (blueprint vs. dataset\n + WE-7 rule) so a reader landing on the case study can follow\n the lineage without having to consult references/REFERENCIAL-\n TEORICO.md.\n\n- vignettes/regression-charts.Rmd\n shewhart_regression() is the package's generalisation of\n Perla's three-phase chart to arbitrary trended processes; the\n Recife worked example in this same vignette uses Ferraz's\n configuration verbatim. Inserted both entries between Mandel\n (1969) and Hawkins (1991) so the regression-chart lineage reads\n in chronological order on the page.\n\n- README.Rmd / README.md\n README.Rmd line 87 already cites \"Ferraz et al. (2020)\" in the\n multi-phase regression section without listing the source.\n Appended both references after Wheeler & Chambers in the home-\n page reference list, then re-knit README.md via\n devtools::build_readme() so the rendered home page picks them\n up.\n\nCitation format follows the entries supplied by the user verbatim\n(authors, year, title, journal in italics, volume/issue/pages\nwhere given). Author list for Ferraz et al. uses \"Wanderley, A. L.\"\nas supplied, even though references/REFERENCIAL-TEORICO.md cites\nthe same author as \"Leite Wanderley, A.\" in the SBPO 2020\nproceedings — the user's entry is the journa", "time": 1778288323 }, "_maintainer": { "name": "André Leite", "email": "leite@castlab.org" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "rlang", "version": ">= 1.1.0", "role": "Imports" }, { "package": "cli", "version": ">= 3.6.0", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.1.0", "role": "Imports" }, { "package": "purrr", "version": ">= 1.0.0", "role": "Imports" }, { "package": "tibble", "version": ">= 3.2.0", "role": "Imports" }, { "package": "tidyselect", "version": ">= 1.2.0", "role": "Imports" }, { "package": "ggplot2", "version": ">= 3.5.0", "role": "Imports" }, { "package": "broom", "version": ">= 1.0.0", "role": "Imports" }, { "package": "slider", "version": ">= 0.3.0", "role": "Imports" }, { "package": "grid", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "patchwork", "version": ">= 1.1.0", "role": "Suggests" }, { "package": "plotly", "version": ">= 4.10.0", "role": "Suggests" }, { "package": "qcc", "version": ">= 2.7", "role": "Suggests" }, { "package": "lubridate", "version": ">= 1.9.0", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.2.0", "role": "Suggests" }, { "package": "vdiffr", "version": ">= 1.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" } ], "_owner": "castlaboratory", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-19", "n": 25 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "milkway", "count": 25, "uuid": 7375849 } ], "_userbio": { "uuid": 75082362, "type": "organization", "name": "CAST Laboratory" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/shewhartr" }, "_devurl": "https://github.com/castlaboratory/shewhartr", "_pkgdown": "https://castlaboratory.github.io/shewhartr/", "_searchresults": 15, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/shewhartr.html", "manual.pdf" ], "_homeurl": "https://github.com/castlaboratory/shewhartr", "_realowner": "castlaboratory", "_cranurl": true, "_releases": [ { "version": "1.3.0", "date": "2026-05-13" } ], "_exports": [ "as_plotly", "box_cox", "calibrate", "color_hue", "fit_gompertz_dummy", "Gompertz", "iloglog", "inv_box_cox", "is_shewhart_chart", "loglog", "monitor", "rolling_sum", "shewhart_arl", "shewhart_box_cox", "shewhart_c", "shewhart_capability", "shewhart_constants", "shewhart_cusum", "shewhart_diagnostics", "shewhart_ewma", "shewhart_hotelling", "shewhart_i_mr", "shewhart_mcusum", "shewhart_mewma", "shewhart_np", "shewhart_p", "shewhart_palette", "shewhart_regression", "shewhart_rules_available", "shewhart_runs", "shewhart_theme", "shewhart_u", "shewhart_xbar_r", "shewhart_xbar_s", "SSgompertzDummy" ], "_datasets": [ { "name": "bacterial_growth", "title": "Bacterial growth curve (optical density)", "object": "bacterial_growth", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "hour", "od" ], "rows": 80, "table": true, "tojson": true }, { "name": "bottle_fill", "title": "Bottle filling volumes", "object": "bottle_fill", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "observation", "ml" ], "rows": 100, "table": true, "tojson": true }, { "name": "claims_p", "title": "Daily insurance claim error rates", "object": "claims_p", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "day", "n", "defects" ], "rows": 30, "table": true, "tojson": true }, { "name": "cvd_recife", "title": "COVID-19 daily mortality, Recife, Brazil, 2020", "object": "cvd_recife", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "date", "new_deaths", ".t" ], "rows": 279, "table": true, "tojson": true }, { "name": "pcb_solder", "title": "Solder defects on printed circuit boards", "object": "pcb_solder", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "board", "defects" ], "rows": 50, "table": true, "tojson": true }, { "name": "tablet_weight", "title": "Pharmaceutical tablet weights", "object": "tablet_weight", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "subgroup", "tablet", "weight" ], "rows": 125, "table": true, "tojson": true }, { "name": "temperature_drift", "title": "Curing oven temperature drift", "object": "temperature_drift", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "minute", "temp_c" ], "rows": 200, "table": true, "tojson": true } ], "_help": [ { "page": "as_plotly", "title": "Convert a Shewhart chart to an interactive plotly figure", "topics": [ "as_plotly", "as_plotly.default", "as_plotly.shewhart_chart" ] }, { "page": "augment.shewhart_chart", "title": "Augment new data with control-chart annotations", "topics": [ "augment.shewhart_chart" ] }, { "page": "autoplot.shewhart_chart", "title": "Plot a Shewhart chart with ggplot2", "topics": [ "autoplot.shewhart_chart" ] }, { "page": "bacterial_growth", "title": "Bacterial growth curve (optical density)", "topics": [ "bacterial_growth" ] }, { "page": "bottle_fill", "title": "Bottle filling volumes", "topics": [ "bottle_fill" ] }, { "page": "box_cox", "title": "Apply / invert a Box-Cox power transformation", "topics": [ "box_cox" ] }, { "page": "calibrate", "title": "Phase I calibration of a control chart", "topics": [ "calibrate" ] }, { "page": "claims_p", "title": "Daily insurance claim error rates", "topics": [ "claims_p" ] }, { "page": "color_hue", "title": "Generate a qualitative HCL palette", "topics": [ "color_hue" ] }, { "page": "cvd_recife", "title": "COVID-19 daily mortality, Recife, Brazil, 2020", "topics": [ "cvd_recife" ] }, { "page": "fit_gompertz_dummy", "title": "Convenience wrapper to fit 'SSgompertzDummy' to a data frame", "topics": [ "fit_gompertz_dummy" ] }, { "page": "glance.shewhart_chart", "title": "Glance at a Shewhart chart's overall diagnostics", "topics": [ "glance.shewhart_chart" ] }, { "page": "Gompertz", "title": "Gompertz growth function", "topics": [ "Gompertz" ] }, { "page": "iloglog", "title": "Inverse log-log transformation", "topics": [ "iloglog" ] }, { "page": "inv_box_cox", "title": "Inverse Box-Cox transformation", "topics": [ "inv_box_cox" ] }, { "page": "is_shewhart_chart", "title": "Shewhart chart S3 class", "topics": [ "is_shewhart_chart", "shewhart_chart" ] }, { "page": "loglog", "title": "Log-log transformation", "topics": [ "loglog" ] }, { "page": "monitor", "title": "Phase II monitoring against pre-calibrated limits", "topics": [ "monitor" ] }, { "page": "pcb_solder", "title": "Solder defects on printed circuit boards", "topics": [ "pcb_solder" ] }, { "page": "print.shewhart_chart", "title": "Print a Shewhart chart object", "topics": [ "print.shewhart_chart" ] }, { "page": "rolling_sum", "title": "Rolling sum with a configurable window", "topics": [ "rolling_sum" ] }, { "page": "shewhart_arl", "title": "Estimate Average Run Length via Monte Carlo simulation", "topics": [ "shewhart_arl" ] }, { "page": "shewhart_box_cox", "title": "Box-Cox profile log-likelihood", "topics": [ "shewhart_box_cox" ] }, { "page": "shewhart_c", "title": "c chart for the number of nonconformities", "topics": [ "shewhart_c" ] }, { "page": "shewhart_capability", "title": "Process capability indices Cp, Cpk, Pp, Ppk", "topics": [ "shewhart_capability" ] }, { "page": "shewhart_constants", "title": "Look up Shewhart control chart constants", "topics": [ "shewhart_constants" ] }, { "page": "shewhart_cusum", "title": "Tabular CUSUM control chart", "topics": [ "shewhart_cusum" ] }, { "page": "shewhart_diagnostics", "title": "Tukey-style residual diagnostic panel", "topics": [ "shewhart_diagnostics" ] }, { "page": "shewhart_ewma", "title": "Exponentially Weighted Moving Average (EWMA) control chart", "topics": [ "shewhart_ewma" ] }, { "page": "shewhart_hotelling", "title": "Hotelling T-squared multivariate control chart", "topics": [ "shewhart_hotelling" ] }, { "page": "shewhart_i_mr", "title": "Individuals and Moving Range (I-MR) control chart", "topics": [ "shewhart_i_mr" ] }, { "page": "shewhart_mcusum", "title": "Multivariate CUSUM control chart (Crosier 1988)", "topics": [ "shewhart_mcusum" ] }, { "page": "shewhart_mewma", "title": "Multivariate EWMA control chart", "topics": [ "shewhart_mewma" ] }, { "page": "shewhart_np", "title": "np chart for the number of nonconforming items", "topics": [ "shewhart_np" ] }, { "page": "shewhart_p", "title": "p chart for the proportion of nonconforming items", "topics": [ "shewhart_p" ] }, { "page": "shewhart_palette", "title": "Access the package's named colour palettes", "topics": [ "shewhart_palette" ] }, { "page": "shewhart_regression", "title": "Regression-based control chart for processes with trend", "topics": [ "shewhart_regression" ] }, { "page": "shewhart_rules_available", "title": "List available runs rules", "topics": [ "shewhart_rules_available" ] }, { "page": "shewhart_runs", "title": "Apply runs tests to a chart object or to raw vectors", "topics": [ "shewhart_runs" ] }, { "page": "shewhart_theme", "title": "Editorial-style ggplot2 theme used by every autoplot.shewhart_*", "topics": [ "shewhart_theme" ] }, { "page": "shewhart_u", "title": "u chart for nonconformities per unit, variable inspection size", "topics": [ "shewhart_u" ] }, { "page": "shewhart_xbar_r", "title": "Xbar-R control chart for rational subgroups", "topics": [ "shewhart_xbar_r" ] }, { "page": "shewhart_xbar_s", "title": "Xbar-S control chart for rational subgroups", "topics": [ "shewhart_xbar_s" ] }, { "page": "SSgompertzDummy", "title": "Self-starting Gompertz with an additive dummy term", "topics": [ "SSgompertzDummy" ] }, { "page": "summary.shewhart_chart", "title": "Compact tibble-like summary", "topics": [ "summary.shewhart_chart" ] }, { "page": "tablet_weight", "title": "Pharmaceutical tablet weights", "topics": [ "tablet_weight" ] }, { "page": "temperature_drift", "title": "Curing oven temperature drift", "topics": [ "temperature_drift" ] }, { "page": "tidy.shewhart_chart", "title": "Tidy the control limits of a Shewhart chart", "topics": [ "tidy.shewhart_chart" ] } ], "_pkglogo": "https://github.com/castlaboratory/shewhartr/raw/HEAD/man/figures/logo.svg", "_readme": "https://github.com/castlaboratory/shewhartr/raw/HEAD/README.md", "_rundeps": [ "backports", "broom", "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "magrittr", "pillar", "pkgconfig", "purrr", "R6", "RColorBrewer", "rlang", "S7", "scales", "slider", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "warp", "withr" ], "_vignettes": [ { "source": "arl-simulation.Rmd", "filename": "arl-simulation.html", "title": "ARL by Monte Carlo simulation", "engine": "knitr::rmarkdown", "headings": [ "Closed-form benchmarks", "Adding rules sharpens detection", "A quantitative comparison: WE-7 vs Nelson 2", "Beyond normal residuals", "References" ], "created": "2026-05-06 23:51:43", "modified": "2026-05-07 19:09:01", "commits": 2 }, { "source": "attributes-charts.Rmd", "filename": "attributes-charts.html", "title": "Attributes charts: p, np, c, u", "engine": "knitr::rmarkdown", "headings": [ "p chart with variable n", "c chart and Poisson honesty", "np chart for constant n", "u chart for variable exposure", "References" ], "created": "2026-05-06 23:51:43", "modified": "2026-05-06 23:51:43", "commits": 1 }, { "source": "covid-recife.Rmd", "filename": "covid-recife.html", "title": "Case study: epidemiological monitoring (COVID-19, Recife)", "engine": "knitr::rmarkdown", "headings": [ "The data", "A first attempt: classical I-MR", "The right tool: regression chart with phase detection", "Why log-log?", "Methodological caveats", "A note on the package's history", "References" ], "created": "2026-05-06 23:51:43", "modified": "2026-05-09 00:58:43", "commits": 3 }, { "source": "box-cox.Rmd", "filename": "box-cox.html", "title": "Choosing a transformation: Box-Cox in practice", "engine": "knitr::rmarkdown", "headings": [ "A textbook example", "Interaction with shewhart_regression(model = \"auto\")", "When not to transform", "References" ], "created": "2026-05-06 23:51:43", "modified": "2026-05-06 23:51:43", "commits": 1 }, { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Getting started with shewhartr", "engine": "knitr::rmarkdown", "headings": [ "Five minutes, three charts", "1. 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