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shewhartr  

Statistical Process Control with Tidyverse-Native Workflows
View on CRAN: Click here


Download and install shewhartr package within the R console
Install from CRAN:
install.packages("shewhartr")

Install from Github:
library("remotes")
install_github("cran/shewhartr")

Install by package version:
library("remotes")
install_version("shewhartr", "1.3.0")



Attach the package and use:
library("shewhartr")
Maintained by
André Leite
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-13
Latest Update: 2026-05-13
Description:
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>.
How to cite:
André Leite (2026). shewhartr: Statistical Process Control with Tidyverse-Native Workflows. R package version 1.3.0, https://cran.r-project.org/web/packages/shewhartr. Accessed 12 Sep. 2026.
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