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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: | 0.7.1 |
Depends: | R (≥ 1.8.0) |
Published: | 2024-08-27 |
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 |
Reference manual: | spc.pdf |
Package source: | spc_0.7.1.tar.gz |
Windows binaries: | r-devel: spc_0.7.1.zip, r-release: spc_0.7.1.zip, r-oldrel: spc_0.7.1.zip |
macOS binaries: | r-release (arm64): spc_0.7.1.tgz, r-oldrel (arm64): spc_0.7.1.tgz, r-release (x86_64): spc_0.7.1.tgz, r-oldrel (x86_64): spc_0.7.1.tgz |
Old sources: | spc archive |
Reverse imports: | CautiousLearning |
Reverse suggests: | surveillance |
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