robustT2 is an R package designed for robust
multivariate statistical process control.
It implements methods based on the STATIS Dual approach
to monitor batch-based industrial processes involving multiple
correlated quality variables.
The package provides: - Construction of a robust compromise
covariance matrix using Minimum Covariance Determinant
(MCD) estimators.
- Robust Hotelling-type T² statistics for anomaly detection.
- Phase II monitoring using standardized Mahalanobis distances projected
onto the compromise structure.
- Visualization tools through robust biplots (GH-Biplot and HJ-Biplot)
and an interactive Shiny dashboard.
An internal dataset (datos_farma) is included for
reproducibility and demonstration.
You can install the development version directly from GitHub:
``r
devtools::install_github(“SergioDanielFG/robustT2”)
Sergio Daniel Frutos Galarza PhD Candidate in Multivariate Statistics University of Salamanca (USAL)
Contributors
Omar Ruiz Barzola
Dr. Purificación Galindo Villardón
MIT © 2025 Sergio Daniel Frutos Galarza