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MSQC  

Multivariate Statistical Quality Control
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MSQC", "1.1.0")



Attach the package and use:
library("MSQC")
Maintained by
Edgar Santos-Fernandez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-06-28
Latest Update: 2022-05-01
Description:
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.
How to cite:
Edgar Santos-Fernandez (2012). MSQC: Multivariate Statistical Quality Control. R package version 1.1.0, https://cran.r-project.org/web/packages/MSQC. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2012-06-28 14:55), 1.0.1 (2014-04-17 18:28), 1.0.2 (2016-06-01 07:39), 1.1.0 (2022-05-01 17:50)
Other packages that cited MSQC R package
View MSQC citation profile
Other R packages that MSQC depends, imports, suggests or enhances
Functions, R codes and Examples using the MSQC R package
Some associated functions: DAGOSTINO . HZ.test . MSQC-package . MardiaTest . Royston.test . archery1 . archery2 . bimetal1 . bimetal2 . carbon1 . carbon2 . covariance . dowel1 . dowel2 . ellip . gen.var . glass1 . glass2 . indust1 . indust2 . kulpa . larg.ellip . mech1 . mech2 . mult.chart . prism . proc.reg . rskewed . sabathia.ind . sabathia1 . sabathia2 . water1 . water2 . 
Some associated R codes: DAGOSTINO.R . HZ.test.R . MardiaTest.R . Royston.test.R . covariance.R . ellip.R . gen.var.R . larg.ellip.R . mult.chart.R . prism.R . proc.reg.R .  Full MSQC package functions and examples
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