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MSQC: Multivariate Statistical Quality Control

This is a toolkit for multivariate process monitoring. It computes several multivariate control charts e.g. Hotelling, Chi-squared, MEWMA, MCUSUM and Generalized Variance. Ten didactic datasets are included. It also contains some tools for assessing multivariate normality e.g. Mardia's, Royston's and Henze-Zirkler's tests. Please, see the NEWS file for the latest changes in the package.

Version: 1.1.0
Depends: R (≥ 3.1.0), graphics, stats, utils
Imports: rgl
Published: 2022-05-01
Author: Edgar Santos-Fernandez
Maintainer: Edgar Santos-Fernandez <edgar.santosfdez at gmail.com>
License: GPL-2 | GPL-3
URL: https://link.springer.com/statistics/computational+statistics/book/978-1-4614-5452-6
NeedsCompilation: no
Citation: MSQC citation info
Materials: NEWS
CRAN checks: MSQC results

Documentation:

Reference manual: MSQC.pdf

Downloads:

Package source: MSQC_1.1.0.tar.gz
Windows binaries: r-devel: MSQC_1.1.0.zip, r-release: MSQC_1.1.0.zip, r-oldrel: MSQC_1.1.0.zip
macOS binaries: r-release (arm64): MSQC_1.1.0.tgz, r-oldrel (arm64): MSQC_1.1.0.tgz, r-release (x86_64): MSQC_1.1.0.tgz, r-oldrel (x86_64): MSQC_1.1.0.tgz
Old sources: MSQC archive

Reverse dependencies:

Reverse imports: chemmodlab

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MSQC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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