robustT2: Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach

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.

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	dplyr, MASS, ggplot2, rrcov, shiny, ggrepel, forcats, Matrix
Suggests:	spelling
Published:	2025-09-10
DOI:	10.32614/CRAN.package.robustT2
Author:	Sergio Daniel Frutos Galarza [aut, cre], Omar Ruiz Barzola [aut], Purificación Galindo Villardón [aut]
Maintainer:	Sergio Daniel Frutos Galarza <sergio_dan88 at hotmail.com>
BugReports:	https://github.com/SergioDanielFG/robustT2/issues
License:	MIT + file LICENSE
URL:	https://github.com/SergioDanielFG/robustT2
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	robustT2 results

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