spc: Statistical Process Control – Calculation of ARL and Other Control Chart Performance Measures

Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.

Version:	0.7.2
Depends:	R (≥ 1.8.0)
Published:	2025-09-24
DOI:	10.32614/CRAN.package.spc
Author:	Sven Knoth [aut, cre]
Maintainer:	Sven Knoth <Sven.Knoth at gmx.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.r-project.org
NeedsCompilation:	yes
CRAN checks:	spc results

Documentation:

Reference manual:

spc.html , spc.pdf

Downloads:

Package source:	spc_0.7.2.tar.gz
Windows binaries:	r-devel: spc_0.7.2.zip, r-release: spc_0.7.2.zip, r-oldrel: spc_0.7.2.zip
macOS binaries:	r-release (arm64): spc_0.7.2.tgz, r-oldrel (arm64): spc_0.7.2.tgz, r-release (x86_64): spc_0.7.2.tgz, r-oldrel (x86_64): spc_0.7.2.tgz
Old sources:	spc archive

Reverse dependencies:

Reverse imports:	CautiousLearning
Reverse suggests:	surveillance

Linking:

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