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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
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.