robustT2: Robust Hotelling-Type T² Control Chart Based on the Dual STATISApproach
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 + fileLICENSE |
| URL: | https://github.com/SergioDanielFG/robustT2 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | robustT2 results |
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