R-bloggers

Automatiser avec l'IA ne retire pas le travail humain : il reste la vérification et le jugement, là où l'erreur de confiance est la plus probable.

NOTE: Any updates to this article will be maintained here: https://medley.bryer.org/articles/stratified_glm.html Introduction Statistical modeling when there is substantial imbalance in the dependent variable poses unique challenges. In these si...

The tuiksdmx R package logo 1 Introduction Accessing official statistics programmatically should be straightforward. In practice, however, finding the right dataset is only part of the problem. An analyst also needs to understand its dime...

In October 2020 I wrote about platypus, an R package for object detection and image segmentation: YOLOv3 and U-Net in a few lines of R, on top of the keras and tensorflow packages. People used it. It collected 134 stars and a queue of issues - ...

This is part one of a five-part series on putting AI agents into production with R. Each part builds on the same app, a clinical trial safety assistant. The parts are: From Chatbot to Agent (this post) Putting the Agent in a Shiny App Can You Tr...

Clinical medicine is by far the largest field in the 2026 Stanford–Elsevier top 2% list: 76,155 of the 249,310 listed authors, 31%, have it…

MICE always felt like magic to me 🪄 So I tried rebuilding it from scratch in R to understand it better. Lots of mistakes and help along the way, but my version ended up close to the mice package. Might be just luck. Still learning, but here are my mes...

Agriculture HRRI v1.0.9: Provides diagnostic functions for integrating longitudinal soil, plant and microbial observations during redox disturbance and recovery. Functions calculate stoichiometric potential oxygen demand, accessible electron ...

Contributor: Pierre-Paul Axisa, Researcher, CBMR, Copenhagen, Denmark. Introduction Testing cell proportional differences from single-cell-resolved count data is central to modern tissue analyses. It becomes a repeated-measures problem as soon as several observations come from the same donor, such as multiple tumour cores in a tissue microarray (TMA) or serial biopsies ...

Ask a large language model a question about your data, and you’ll probably get a confident answer. Ask it again, and you might get a different one. Sometimes, neither answer is correct. That’s a problem if you’re building an AI ...

I recently learned about an interesting way of reducing the dimension of a data set. I’d like to illustrate it with a data set of about 550 historical battles in the UK, extracted from Wikidata using a SPARQL query. No doubt some readers will have seen...

Summary Who this is for: Data scientists and analysts who need to estimate what an intervention does (a call, a discount, a campaign) and want to know when causal ML methods are worth using over LM, GLM, and GBM. The basis is nine simulations w...