Software & Apps

Code, data and interactive applications that accompany my research and teaching.

Software by Luca Frigau: R code, data repositories and interactive R Shiny applications related to his research in statistical learning and applied statistics, and a jamovi module for teaching market analysis.

I work mainly in R. This page collects public code and data related to my articles and my teaching. Interactive R Shiny applications are hosted on a separate server and will be listed here, with links, as they are released. Source code is on GitHub.

Research code

  • Research code · 2025

    PARSEG

    R implementation of PARSEG (PArtitioning, Random Selection, Estimation and Generalization), a data-efficient framework for pixel-level image segmentation that selects the smallest number of labeled pixels needed for stable and reliable results. Includes a reproducible example.
    • R
    • Image segmentation
    • Classification

    MIT license.

Data and replication materials

  • Data · 2021

    Health care fraud classifiers in practice

    Repository accompanying the article Health care fraud classifiers in practice (Applied Stochastic Models in Business and Industry, 2021). It provides the labeled payment data set used in the article.

Other software

  • Software · 2026

    AnalisiMercato

    A jamovi module for my Market Analysis course at the University of Cagliari: sample size and probability sampling designs, hierarchical cluster analysis and principal component analysis, with an Italian interface and four teaching data sets.
    • jamovi
    • R
    • Teaching

    GPL-3.0 license. Installation files for macOS, Windows and Linux are on GitHub.