Package: MTSYS 1.2.1

MTSYS: Methods in Mahalanobis-Taguchi (MT) System

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) <doi:10.1198/004017002188618626>) and the other is a family of Taguchi (T) methods for forecasting (see Kawada, H., and Nagata, Y. (2015) <doi:10.17929/tqs.1.12>). 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.

Authors:Akifumi Okayama [aut, cre], Masato Ohkubo [ctb], Yasushi Nagata [ctb]

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NEWS

# Install 'MTSYS' in R:
install.packages('MTSYS', repos = c('https://okayaa.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/okayaa/mtsys/issues

On CRAN:

3.92 score 6 stars 28 scripts 122 downloads 21 exports 0 dependencies

Last updated 4 years agofrom:c3dae3fbaf. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:calc_cofactorcalc_M_hatcalc_overall_predicton_etadiagnosisforecastinggeneral_diagnosis.MTgeneral_forecasting.Tgeneral_MTgeneral_Tgenerates_dimensionality_reduction_functiongenerates_modelgenerates_normalization_functiongenerates_transformation_functions_T1generates_transformation_functions_Tbgenerates_unit_spaceMTMTARTT1TaTb

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Function to calculate a cofactor matrixcalc_cofactor
Function to estimate M value (M hat) for a family of T methods.calc_M_hat
Function to calculate overall prediction eta for the T methodcalc_overall_predicton_eta
Function to predict a diagnosis for a family of Mahalanobis-Taguchi (MT) methodsdiagnosis
Diagnosis method for the Mahalanobis-Taguchi (MT) methoddiagnosis.MT
Diagnosis method for the Mahalanobis-Taguchi Adjoint (MTA) methoddiagnosis.MTA
Diagnosis method for the Recognition-Taguchi (RT) methoddiagnosis.RT
Function to predict a forecasting for a family of Taguchi (T) methodsforecasting
Forecasting method for the T1 methodforecasting.T1
Forecasting method for the Ta methodforecasting.Ta
Forecasting method for the Tb methodforecasting.Tb
General function to implement a diagnosis method for a family of Mahalanobis-Taguchi (MT) methodsgeneral_diagnosis.MT
General function to implement a forecasting method for a family of Taguchi (T) methodsgeneral_forecasting.T
General function to generate a unit space for a family of Mahalanobis-Taguchi (MT) methodsgeneral_MT
General function to generate a prediction expression for a family of Taguchi (T) methodsgeneral_T
Function to generate a data transformation function for the Recognition-Taguchi (RT) methodgenerates_dimensionality_reduction_function
Wrapper function to generate a model for a family of Taguchi (T) methodsgenerates_model
Function to generate the data normalization functiongenerates_normalization_function
Function to generate data transformation functions for the T1 methodsgenerates_transformation_functions_T1
Function to generate data transformation functions for the Tb methodsgenerates_transformation_functions_Tb
Wrapper function to generate a unit space for a family of Mahalanobis-Taguchi (MT) methodsgenerates_unit_space
Function to generate a unit space for the Mahalanobis-Taguchi (MT) methodMT
Function to generate a unit space for the Mahalanobis-Taguchi Adjoint (MTA) methodMTA
Function to generate a unit space for the Recognition-Taguchi (RT) methodRT
Function to generate a prediction expression for the two-sided Taguchi (T1) methodT1
Function to generate a prediction expression for the Ta methodTa
Function to generate a prediction expression for the Tb methodTb