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 |
Documentation:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.