R-bloggers

Programming with LLMs in R & Python

April 14, 2026 | The Jumping Rivers Blog

Working with LLMs in Practice Large Language Models are becoming part of everyday data science work. But using them through chat interfaces is only one part of the picture. In this upcoming webinar, we focus on how to work with LLMs programmatica...

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Marathon Man II: how to pace a marathon

April 14, 2026 | Stephen Royle

It’s often the way. I posted recently about how to pace a marathon and very quickly received feedback that would’ve improved the original post. Oh well, no going back. This is take two. So, we have a dataset of all runners from the 2025 New York City Marathon. We ...

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Do AI coding agents save scientists time?

April 13, 2026 | Seascapemodels

I’m often asked if using AI coding agents saves time. Yes they write code very quickly and can complete entire ecological data analyses. Do agents really help when the deadlines are approaching? Do agents really help when the deadlines are ...

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reviser: Analyzing Real-Time Data Revisions in R

April 12, 2026 | rOpenSci

Economic data are rarely static. Gross domestic product (GDP), inflation, employment, and other official statistics arrive as early estimates, then get revised as new source data arrive, seasonal adjustment is updated, or benchmarking changes are appl... [Read more...]

`mlS3` — A Unified S3 Machine Learning Interface in R

April 11, 2026 | T. Moudiki

Introduction to `mlS3` — A Unified S3 Machine Learning Interface in R

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Test & Roll: Why Smaller A/B Tests Can Make More Money

April 11, 2026 | Florian Teschner

Short practical advice on A/B testing: Stop sizing tests only for statistical significance - In finite campaigns, your goal is profit, not perfect inference. Treat testing as a trade-off - Every extra test exposure buys learning but ... [Read more...]

Machine Learning Frameworks in R

April 11, 2026 | R'tichoke

R’s ecosystem offers a rich selection of machine learning frameworks, each with distinct design philosophies and strengths. This post is a side-by-side comparison of five ML frameworks in R that provide unified interfaces over multiple algorithms... [Read more...]

New R Package {bdlnm} Released on CRAN: Bayesian Distributed Lag Non-Linear Models in R via INLA

April 10, 2026 | Pau Satorra

CRAN, GitHub TL;DR: {bdlnm} brings Bayesian Distributed Lag Non-Linear Models (B-DLNMs) to R using INLA, allowing to model complex DLNMs, quantify uncertainty, and produce rich visualizations. Background Climate change is increasing exposure to extreme environmental conditions such as heatwaves and air pollution. However, these exposures rarely have immediate effects. ... [Read more...]

Using R to Teach R: Lessons for Software Development

April 9, 2026 | The Jumping Rivers Blog

As we approach the decennial (10-year) anniversary since Jumping Rivers was founded in 2016, it’s a good time to reflect on what we have achieved in that time and share some lessons learned. If you have read our blogs previously then you will be aware that Jumping Rivers is a ...

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Hold On Hope: publication lag times at cell biology journals

April 9, 2026 | Stephen Royle

I’ve posted about publication lag times previously. The “lag” refers to the time from submitting a paper and it appearing in a journal. Publication lag times are still a frustration for researchers. Although preprints circumvent the delay in sharing science with others, publication is still king when it comes ...

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Developer Engagement and Bioconductor

April 8, 2026 | Nicholas Cooley, PhD

Introduction During the Chan Zuckerberg Institute’s Essential Open Source Software for Science cycle 6 funding round, the Bioconductor Community Manager, Maria Doyle, secured a grant to fund a developer engagement position for Bioconductor, and... [Read more...]

Collaborating between Bioconductor and R-universe on Development of Common Infrastructure

April 7, 2026 | The rOpenSci Team

This article is cross-posted on rOpenSci and R-Consortium blogs. For more than two decades, the Bioconductor project has been a cornerstone of the R ecosystem, providing high-quality, peer-reviewed tools for bioinformatics and computational biol...

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Collaborating between Bioconductor and R-universe on Development of Common Infrastructure

April 7, 2026 | rOpenSci

For more than two decades, the Bioconductor project has been a cornerstone of the R ecosystem, providing high-quality, peer-reviewed tools for bioinformatics and computational biology. Its curated repository model, rigorous review standards, and tight...

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EM-DAT, the world’s disaster memory, is at risk

April 6, 2026 | R on Stats and R

I do not usually write posts that are calls to action. But sometimes, something important enough comes along that it would feel wrong to stay silent. This is one of those times. What is EM-DAT? EM-DAT, the Emergency Events Database, is the world’s...

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Marathon Man: how to pace a marathon

April 6, 2026 | Stephen Royle

How does the average marathoner pace their race? In this post, we’ll use R to have a look at a large dataset of marathon times to try to answer this question. The ideal strategy would be to “even split” the race. This is where you run continually at the ...

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One interface, (Almost) Every Classifier: unifiedml v0.2.1

April 3, 2026 | T. Moudiki

A new version of `unifiedml` is out; available on CRAN. `unifiedml` is an effort to offer a unified interface to R's machine learning models.

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You can just build your own programming language

April 2, 2026 | Econometrics and Free Software

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...

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AI agents can create convincing ecological models, but you still need to know what you’re doing

April 2, 2026 | Seascapemodels

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...

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A Better R Programming Experience Thanks to Tree-sitter

April 1, 2026 | rOpenSci

A little bit less than two years ago, building on work by Jim Hester and Kevin Ushey, Davis Vaughan completed a very impactful JavaScript file for the R community: an R grammar for the Tree-sitter parsing generator. He even got a round of applause for... [Read more...]

Techtonique dot net is down until further notice

March 31, 2026 | T. Moudiki

Techtonique dot net is down until further notice [Read more...]

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