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robustT2  

Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach
View on CRAN: Click here


Download and install robustT2 package within the R console
Install from CRAN:
install.packages("robustT2")

Install from Github:
library("remotes")
install_github("cran/robustT2")

Install by package version:
library("remotes")
install_version("robustT2", "0.1.0")



Attach the package and use:
library("robustT2")
Maintained by
Sergio Daniel Frutos Galarza
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-10
Latest Update: 2025-09-10
Description:
Implements a robust multivariate control-chart methodology for batch-based industrial processes with multiple correlated variables using the Dual STATIS (Structuration des Tableaux A Trois Indices de la Statistique) framework. A robust compromise covariance matrix is constructed from Phase I batches with the Minimum Covariance Determinant (MCD) estimator, and a Hotelling-type T² statistic is applied for anomaly detection in Phase II. The package includes functions to simulate clean and contaminated batches, to compute both robust and classical Hotelling T² control charts, to visualize results via robust biplots, and to launch an interactive 'shiny' dashboard. An internal dataset (pharma_data) is provided for reproducibility. See Lavit, Escoufier, Sabatier and Traissac (1994) <doi:10.1016/0167-9473(94)90134-1> for the original STATIS methodology, and Rousseeuw and Van Driessen (1999) <doi:10.1080/00401706.1999.10485670> for the MCD estimator.
How to cite:
Sergio Daniel Frutos Galarza (2025). robustT2: Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach. R package version 0.1.0, https://cran.r-project.org/web/packages/robustT2. Accessed 25 Oct. 2026.
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