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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 |
Reference manual: | MSQC.pdf |
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 imports: | chemmodlab |
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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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