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MTSYS  

Methods in Mahalanobis-Taguchi (MT) System
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MTSYS", "1.2.0")



Attach the package and use:
library("MTSYS")
Maintained by
Akifumi Okayama
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-02
Latest Update: 2017-09-10
Description:
Mahalanobis-Taguchi (MT) system is a collection of multivariate analysis methods developed for the field of quality engineering. MT system consists of two families depending on their purpose. One is a family of Mahalanobis-Taguchi (MT) methods (in the broad sense) for diagnosis (see Woodall, W. H., Koudelik, R., Tsui, K. L., Kim, S. B., Stoumbos, Z. G., and Carvounis, C. P. (2003) ) and the other is a family of Taguchi (T) methods for forecasting (see Kawada, H., and Nagata, Y. (2015) ). The MT package contains three basic methods for the family of MT methods and one basic method for the family of T methods. The MT method (in the narrow sense), the Mahalanobis-Taguchi Adjoint (MTA) methods, and the Recognition-Taguchi (RT) method are for the MT method and the two-sided Taguchi (T1) method is for the family of T methods. In addition, the Ta and Tb methods, which are the improved versions of the T1 method, are included.
How to cite:
Akifumi Okayama (2017). MTSYS: Methods in Mahalanobis-Taguchi (MT) System. R package version 1.2.0, https://cran.r-project.org/web/packages/MTSYS. Accessed 07 Oct. 2026.
Previous versions and publish date:
1.0.0 (2017-08-02 14:36), (2026-07-09 08:09)
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Complete documentation for MTSYS
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