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Using caretS3 with ahead::ctxthetaf for Time Series Forecasting
A demonstration of using caretS3 models for time series forecasting with ahead::ctxthetaf. Continue reading : Using caretS3 with ahead::ctxthetaf for Time Series Forecasting
Free AI and Data Courses with 365 Data Science: Unlimited Access until Nov. 20
365 Data Science opens its doors this November 100% for free! From November 5 to November 20, 2026, enjoy unlimited access to the entire platform, including a wide range of R programming courses and projects. This offer…
Nuclei, five years later: what a mean Dice hides
In 2020 I trained a U-Net on the 2018 Data Science Bowl nuclei with the first version of this package, watched a Dice score climb during training, and finished the post with four predicted masks on the competition’s test images. Those images ha... Continue reading : Nuclei, five years later: what a…
Postal codes and tessellations
From five imaginary points to a map of Slovenia: postal code areas with Voronoi, giscoR and sf. Continue reading : Postal codes and tessellations
Environmental modelling in your web browser
I recall when the R shiny framework first came out. It suddenly got relatively easy for us ecological modellers and environmental statisticians to turn our R code into web apps. This improved accessibility of complex analyses to more general aud... Continue reading : Environmental modelling in your…
Shrink stored models with butcher
Scope Fitted model objects in R often carry more than they need for prediction. A glm object keeps the training data, the fitted values, the residuals, and the environment of its formula. That is fine for a single model. It adds up when resample... Continue reading : Shrink stored models with…
SAS to R: Why R, and Where Your Migration Budget Should Go
This post is part of our SAS to R series: Part 1: Is SAS still used, and is it worth keeping? Part 2: Why R, and where your migration budget should go (this post) Part 3: coming soon If you’re moving regulated analysis from SAS to R, two ... Continue reading : SAS to R: Why R, and Where Your…
Roche and Appsilon Build on Their Collaboration to Support teal’s Continued Development
Following the recent migration of the teal framework to pharmaverse, Roche and Appsilon are building on their existing collaboration to support its continued development. Appsilon will continue contributing developer expertise and will be recogn... Continue reading : Roche and Appsilon Build on…
Kindness, Curiosity, and Kitties: A rOpenSci 15th Anniversary Interview with Mo
As part of rOpenSci’s 15th anniversary celebrations, Community Manager Yani sits down with community member Mo to talk about how a first software review turned into years of involvement across R-Universe, the Champions Program, the Slack communi... Continue reading : Kindness, Curiosity, and…
L’IA travaille. Il vous reste le plus difficile.
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. Continue reading : L’IA travaille. Il vous reste le plus difficile.
Stratified Modeling for Imbalanced Data
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... Continue reading : Stratified Modeling for…
Roche Open-Source TLG Packages Move to pharmaverse
Written on behalf of the NEST team. Over the past few months, we have reached an important milestone in our open-source journey: transitioning key clinical reporting and exploratory analysis R packages from the insightsengineering GitHub organ... Continue reading : Roche Open-Source TLG Packages…
rplatypus rebuilt: deep learning for medical images in R
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 - ... Continue reading : rplatypus rebuilt: deep learning…
Introducing tuiksdmx: A Metadata-Driven R Client for Turkish Official Statistics
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... Continue reading : Introducing tuiksdmx: A…
Agents in Production: Build Your First AI Agent in R with {ellmer}
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... Continue reading : Agents in Production: Build…
Carolina Pradier, rOpenSci champion and mentor
We started this article as an interview series with Champions from our program, and we decided to publish for our 15th anniversary series. This is the interview with Carolina Pradier, main maintainer of the eph package. Carolina Pradier has long worke... Continue reading : Carolina Pradier…
Top-cited scientists in clinical medicine by country: the Stanford–Elsevier top 2% list in R
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… Continue reading : Top-cited scientists in clinical medicine by country: the Stanford–Elsevier top 2% list in R
Register for the Summer R Workshops in Brisbane, at UQ: Introduction to R and Statistical Modelling
Learn the R skills needed to analyse data confidently, build powerful statistical models, create publication-quality figures, and answer complex research questions with the Centre for Biodiversity and Conservation Science (CBCS) 2027 Summer R Wo... Continue reading : Register for the Summer R…
My Messy Notes of Learning MICE From Scratch
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... Continue reading : My Messy Notes of…
September 2026 Top 40 New CRAN Packages
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 ... Continue reading : September 2026 Top 40 New CRAN…
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