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

Overview

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.


Installation

You can install the development version directly from GitHub:

``r

install.packages(“devtools”)

devtools::install_github(“SergioDanielFG/robustT2”)

Authors

Sergio Daniel Frutos Galarza PhD Candidate in Multivariate Statistics University of Salamanca (USAL)

Contributors

Omar Ruiz Barzola

Dr. Purificación Galindo Villardón

License

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.