shewhartr: Statistical Process Control with Tidyverse-Native Workflows

A comprehensive toolkit for Statistical Process Control (SPC) that combines the rigor of classical Shewhart methodology with modern tidyverse-native interfaces. Provides classical control charts for variables (I-MR, Xbar-R, Xbar-S) and attributes (p, np, c, u), as well as regression-based control charts for processes with trend. Includes Nelson runs tests, Average Run Length (ARL) simulation, process capability indices with bootstrap confidence intervals, Box-Cox transformation guidance, and a clean Phase I / Phase II workflow. All chart objects integrate with broom via 'tidy', 'glance' and 'augment' methods. References: Shewhart (1931, ISBN:0-87389-076-0); Montgomery (2019, ISBN:978-1-119-39930-8); Nelson (1984) <doi:10.1080/00224065.1984.11978921>; Woodall (2000) <doi:10.1080/00224065.2000.11980013>; Box & Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>.

Version: 1.3.0
Depends: R (≥ 4.1.0)
Imports: rlang (≥ 1.1.0), cli (≥ 3.6.0), dplyr (≥ 1.1.0), purrr (≥ 1.0.0), tibble (≥ 3.2.0), tidyselect (≥ 1.2.0), ggplot2 (≥ 3.5.0), broom (≥ 1.0.0), slider (≥ 0.3.0), grid, grDevices, stats, utils
Suggests: patchwork (≥ 1.1.0), plotly (≥ 4.10.0), qcc (≥ 2.7), lubridate (≥ 1.9.0), testthat (≥ 3.2.0), vdiffr (≥ 1.0.0), knitr, rmarkdown, pkgdown, MASS
Published: 2026-05-13
DOI: 10.32614/CRAN.package.shewhartr (may not be active yet)
Author: André Leite [aut, cre], Hugo Vasconcelos [aut], Raydonal Ospina [aut], Cristiano Ferraz [aut], Castlab [cph, fnd]
Maintainer: André Leite <leite at castlab.org>
BugReports: https://github.com/castlaboratory/shewhartr/issues
License: GPL-3
URL: https://castlaboratory.github.io/shewhartr/, https://github.com/castlaboratory/shewhartr
NeedsCompilation: no
Citation: shewhartr citation info
Materials: README, NEWS
CRAN checks: shewhartr results

Documentation:

Reference manual: shewhartr.html , shewhartr.pdf
Vignettes: ARL by Monte Carlo simulation (source, R code)
Attributes charts: p, np, c, u (source, R code)
Choosing a transformation: Box-Cox in practice (source, R code)
Case study: epidemiological monitoring (COVID-19, Recife) (source, R code)
Residual diagnostics, Tukey style (source, R code)
Getting started with shewhartr (source, R code)
Memory-based charts: EWMA and CUSUM (source, R code)
Multivariate charts: Hotelling T² (source, R code)
Phase I and Phase II (source, R code)
Regression-based control charts (source, R code)
Variables charts: I-MR, Xbar-R, Xbar-S (source, R code)

Downloads:

Package source: shewhartr_1.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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