The 'rfuns' Python package enables users to access R-style functions and idioms within the Python environment. Developed to support programmers who frequently switch between R and Python, the package offers familiar R functions, vectorization, and enhanced usability for R-trained data scientists working in Python. While not intended for production use, rfuns aims to improve interactive and exploratory workflows.
A recent blog post demonstrates how sensitivity analysis can be used to increase transparency in time-series forecasting models within the R programming environment. Using the ahead::dynrmf model and various external regressors, the method quantifies how changes in inputs affect forecast outcomes. Practical code examples with R libraries are provided to show application to both economic and advertising datasets.
A presentation at the Risk 2026 conference detailed advancements in using lightweight transfer learning methods, specifically quasi-randomized neural networks, for financial forecasting tasks. Supporting materials, including slides and R code, were made publicly available to encourage further research and application.
The new nycOpenData R package provides streamlined, reproducible access to New York City’s vast public data resources, offering significant utility for statisticians, educators, journalists, and civic researchers.
A data-driven exploration identifies the closest pairs of UK parkruns using R programming, offering running enthusiasts novel challenges and insights into spatial sports analytics.
The latest release of pharmaversesdtm, version 1.4.0, introduces expanded SDTM test data with a significant focus on neurology and oncology. The update offers new datasets, variable enhancements, and better organization, supporting researchers and developers engaged in pharmaceutical and medical data analysis.
A guide to adjusting for multiple comparisons in statistical models using R's 'emmeans' package, highlighting methods, practical implications, and the importance for researchers to apply rigorous error correction in analytics.
Stay informed with curated insights delivered weekly to your inbox.