R project for statistical computing

This project will produce RobStatTM-Py, a Python library exposing the target RobStatTM function set for this project through lightweight rpy2...

This project implements a new R package that brings multilingual documentation to R help pages with correct support for dynamic content generated by...

R's standard file reading functions must ingest data into memory before any filtering can occur, creating a hard memory ceiling for large datasets....

This project aims to extend the mlr3torch ecosystem by implementing AUC-oriented loss functions and training-time sampling strategies for imbalanced...

Changepoint detection is widely used in modern data streams, but current regression based changepoint methods are limited in flexibility. Existing...

This project proposes mlr3hf, an R package for integrating Hugging Face datasets into the mlr3 ecosystem. The package will allow users to download...

The central task in this project is to take the mentors’ existing confidence-set prototype and develop it into a maintainable package feature. The...

This project is about extending the gamboostLSS package by flexible copula regression via gradient boosting. Currently the framework only supports...

Problem: R remains the gold standard in bioinformatics thanks to Bioconductor. However, many data scientists prefer Python for machine learning and...

The {torchvision} library in mlverse is already near-feature-parity with the PyTorch library, but certain performance optimisation and...

This project's goal is to improve the accessibility and sustainability of the glmmTMB R package by replacing its C++-based TMB backend with a more...

This project implements five concrete improvements to animint2 across the R compiler, animint.js renderer, and CI pipeline. First, polygon holes via...

Offline change-point detection is a widely used statistical technique for identifying structural breaks in sequential data, with applications in...

This proposal aims to extend the ecotourism R package developed during GSoC 2025 by updating the tourism data to include most of 2025, creating...

Virtual niche simulations are a powerful tool for testing ecological theory, and nicheR provides an integrated, R-native framework for...

animint2 is an R package that translates ggplot2 graphics into interactive animated web visualizations using D3.js and a custom JavaScript renderer...

Stochastic simulation is essential in computational biology and infectious disease modelling, but existing methods require a trade-off between...

This project focuses on extending the imputeTestbench R package to better support modern time series data. The current package works well for...

The project will develop a high-performance Rust backend for graph-based spatial smoothing of hyperspectral images, delivered through an R package,...

The torchvision package in the mlverse ecosystem provides essential tools for computer vision workflows in R, including datasets, transformations,...

This project will extend the tourr R package by adding new projection pursuit indices (PPIs) based on scagnostics, so users can search for a wider...

This project aims to extend the classbound R package into a general framework for exploring and comparing classification boundaries across a wide...

The proposal includes detailed information about me (such as my qualifications and other relevant details), project details, my approach to the...

Problem: Imbalanced datasets pose a significant challenge in machine learning, where standard metrics like accuracy can falsely evaluate a model that...

This project extends the gfpop R package to support time-dependent constraints. Instead of using a fixed constraint graph, the graph can change at...

This project focuses on extending the R interface of the torchvision library by implementing support for core computer vision datasets and model...

The DBmaps package aims to simplify and automate the analysis of complex relational data in R. A common challenge in data analysis is the need to...

Financial factor investing relies on rigorous quantitative research to explain asset returns and generate alpha. While many academic models and...

This project will implement the recent techniques from Gallagher et al. (2024) and Gallagher et al. (2025) for improved time series simulation...

The grepreaper package addresses the critical need for efficient pattern matching and selective data loading in R, particularly for large datasets....

This project aims to improve Animint2 by, enhancing grid layouts for ggplot2 to simplify plot arrangement, porting the Animint gallery from NAU...

Researchers have tremendous difficulty keeping up with the exponential growth of scientific literature, hindering their ability to stay on top of the...

The torch ecosystem is rapidly growing in R, but it still lacks support for several key computer vision capabilities available in Python's...

This project aims to improve the interpretation of non-linear dimension reduction (NLDR) methods like t-SNE and UMAP by linking them with linear...

The pandemonium package is a specialized cluster analysis tool designed for physics applications. It employs hierarchical clustering and provides an...

Problem: While Large Language Models (LLMs) like ChatGPT can generate R code, they often lack precision when answering questions about third-party R...

This project proposes the development of an R data package designed to support teaching and exploration of data visualization through the lens of...

The Jaya R package implements the Jaya optimization algorithm, a gradient-free, population-based method for solving both single-objective and...

This project aims to develop an object-oriented R package for offline change-point detection, based on the widely used Python library `ruptures`,...

This project aims to improve the user experience for data.table by closing some of the hundreds of outstanding issues. The focus will be on resolving...

The VedicDateTime R package is a specialized toolkit designed to handle date-time computations in the context of the Vedic calendar system. Initially...

This project aims to address performance limitations of the dirichletprocess R package by reimplementing its computationally intensive core sampling...

The imputeTestbench package offers an automated framework to benchmark various imputation techniques on univariate time series. It has been widely...

This project focuses on extending Animint2 with new features like smart, non-overlapping label placement using quadratic programming through the...

The spinebil package provides diagnostic tools to evaluate projection pursuit (PP) index functions, which are used to discover informative...

This project focuses on strengthening the data.table package by improving its documentation, enhancing consistency, fixing bugs, refactoring code,...