Articles about "R programming"

The goodpractice package for R, maintained by rOpenSci, has released a major update featuring improved usability and expanded code checks. The update was driven by a collaboration between developers and the generative AI tool Claude, marking a notable example of human-AI partnership in open source software maintenance. The new version offers streamlined control of code checks, clearer reporting, and incorporates advanced syntax parsing for code assessment.

R package developers using Stan for Bayesian modeling can significantly reduce model compilation times through parallel compilation, compiler caching, and smart tool choices. Techniques outlined include environment variable adjustments, employing ccache, workflow automation, and selecting efficient compilers like clang. These improvements enhance productivity, especially for teams maintaining complex statistical packages.

The R package muttest has released version 0.2.0, introducing enhanced mutation testing capabilities for software written in R. Key updates include an expanded library of mutators, improved reporting, and support for parallel execution. These features aim to help developers more accurately assess the quality of their test suites, especially as AI-generated code becomes more common.

A new guide details how to create an expected goals (xG) model for football analytics using R. The tutorial covers building a reproducible workflow with machine learning methods, synthetic data, and relevant football features. This approach provides analysts a foundation for more advanced sports analytics in R.

The R package unifiedml has released version 0.3.0, introducing new features for seamless benchmarking and probability prediction across multiple machine learning models. The update enables users to compare classifiers and regressors through a single interface and standardized evaluation procedures. This simplifies model selection workflows for data scientists using R.

rOpenSci has announced a new and diverse team of mentors for its 2026 Champions Program, with members experienced in R programming, open science, and community building across Latin America and beyond. The mentors, including both returning leaders and new voices, will support participants in developing research software and leadership within open science communities.

A new R-based desk plant simulator combines playful gamification with generative AI, integrating GPT-created ASCII art and interactive functions. The open-source game demonstrates how AI-generated content and scripted automation can enhance user experience in programming environments.

A new health economics model for Stage II oral squamous cell carcinoma (OSCC) has been developed using statistical simulations and AI-assisted tools in R. The approach leverages synthetic data, continuous-time Markov chains, and quality-of-life metrics to evaluate patient outcomes for different treatment pathways. This proof-of-concept demonstrates the potential for AI-powered decision support in clinical and patient communication contexts.

A new open standard, AGENTS.md, is providing AI coding assistants with critical project context in the pharmaverse ecosystem for clinical R programming. The standard aims to ensure that AI-generated code aligns with highly specific regulatory and domain expectations. Adoption within pharmaverse packages, including {admiral}, is already shaping workflows and informing wider open-source policy discussions.

The article explores how the R programming language has become essential for advanced digital biology workflows, combining bioinformatics, predictive modeling, and time series analysis. It details professional standards for data handling and emphasizes reproducibility, interpretability, and integration of diverse analytical methods in life sciences research. The piece highlights R's broad ecosystem and growing importance in contemporary biological data science.