R-bloggers

Last summer, while relaxing on the beaches of Berck, a French town known for treating tuberculosis in kids by exposing them to the fresh maritime air (back in 19th century, they have antibiotics these days), I found myself daydreaming abou...

Agentic AI tools like Claude Code can write and run code, fix its own errors, and produce a formatted report with figures. I wanted to know whether that translates into reliable ecological modelling, so we ran a test: three fisheries tasks, four...

      March 31 is Transgender Day of Visibility. I’m not transgender myself, but I have friends, acquaintances, and family members who are. Chances are you do too, whether you realize it or not.   &nbs...

Disclaimer: This blog contains opinions that are of the authors alone and do not necessarily reflect the strategy of their respective organizations. The humble View() and its limits View() has served R programmers well for a long time — pass ...

NoteEnd of March is the time when I remember with warm nostalgia the vivid memories of working alongside and learning from Jim Vaupel, who died untimely on 27th March 2022. He was a brilliant demographer and a vital person who radiated lov...

The Emergency departments leading the transformation of Alzheimer’s and dementia care (ED-LEAD) study, which I have written about in the past, is approaching the end of its third year. This multifactorial design evaluates three independent, yet potenti...

With the conflict in Iran causing worldwide disruption to energy markets, I have both a work and personal interest in energy supply in Pacific islands, which led me to this blog post. Here I look at just two aspects of energy: electricity generation, a...

📊 Dipping my toes into financial statements — income, balance sheet & cash flow. Still don’t fully get it, but slowly piecing together the story these numbers tell. Warren Buffett makes it look easy 😅 Baby steps! 🌱 Motivations ...

Explaining Time-Series Forecasts with Sensitivity Analysis (ahead::dynrmf and external regressors)

LLM-enhanced momentum investing combines traditional momentum signals with real-time news interpretation by large language models (LLMs). The idea is straightforward: stocks with strong past returns are candidates for momentum portfolios, but their inclusion and weight are refined by LLM-generated sentiment scores derived from firm-specific news. This hybrid approach improves risk-adjusted ...

Over the course of my career as a Data Scientist, I’ve worked on projects ranging from simple code reviews, to large application builds. For the most part, I have used R to do this. If you’re getting into coding or data science, one q...

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Two hundred and fifty-five of the new packages submitted to CRAN in February were still there in mid-March. Here are my Top 40 picks in seventeen categories: Artificial Intelligence, Biology, Buddhism, Climate Science, Computational Methods, Dat...