R-bloggers

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ Open call for the rOpenSci Champions Program 2026! We are pleased t... [Read more...]

There was a very long time without a blog post from me. I will start now again with a very short blog post with some book and blog recommendations. I think two still very hot topics currently are AI and Causal Modelling. AI For a theoretical A... [Read more...]

Read it in: Español. Maintaining an open source package is rewarding work, but it’s also a lot of work. Life and careers change, interests shift, and sometimes you simply don’t have the time or energy to keep working on your R package (and that’s okay!1). When ... [Read more...]

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Thanks to Athanasia Mo Mowinckel for reviewing this post! One goal of mine this year is to learn how to crochet amigurumi, that is to say, cute creatures. When working on my first project, a cat toy made out of yarn left-over from knitting projects, I ... [Read more...]

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Boxing analysis is no longer just about punch totals or “who looked busier.” Modern fight analysis is data science: repeatable pipelines, validated data, explainable models, and performance indicators that translate into strategy. This post shows how to build a professional fight data science workflow in R—from raw data to ... [Read more...]

Preamble: I had a roughly 8 year break from blogging and focussed on kids plus related duties. This year, I will try to start again. My goal is to write about (advertising-related) research and how practitioners can apply the insights. Todays paper i... [Read more...]

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At the beginning of 2025, we outlined our goals for the year, our 2024 Highlights. As the year started, our work took place in a far more challenging global context than many of us anticipated. Across many countries, science and research faced funding... [Read more...]

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After passing through rOpenSci peer review, the distionary package is now newly available on CRAN. It allows you to make probability distributions quickly – either from a few inputs or from its built-in library – and then probe them in detail. These d... [Read more...]