Software
Statistical computing, R packages and tools for reproducible research.
My research software connects statistical methodology, open-source implementation and reproducible applications. I use C++ and RcppArmadillo in R packages for computational performance, and Python for data processing, machine learning and reproducible research workflows.
R packages
sglasso
An R package for shrinkage and penalized estimation research in high-dimensional data. Its computational core uses C++ and RcppArmadillo.
- Source code on GitHub
- Related article: Collinear Groupwise Selection via Scaled Group Lasso
- Technologies: R · C++ · RcppArmadillo
rbridge — Restricted Bridge Estimation
An R package for restricted bridge estimation under linear constraints.
- CRAN package documentation
- Source code on GitHub
- Related article: Penalized Regression via the Restricted Bridge Estimator
- Technologies: R · C++ · RcppArmadillo
Research workflow
| Area | Use |
|---|---|
| R | Statistical modelling, simulation, package development and visualisation |
| Python | Data preparation, machine-learning workflows and reproducible analysis |
| C++ / RcppArmadillo | Computationally intensive methods and performance-critical components in R packages |
| SPSS | Applied data analysis in the social sciences |