R-bloggers

15 Years of rOpenSci, and We’re Just Getting Started 🎉

May 12, 2026 | rOpenSci

Digging through our memory box, we came across a conversation from which we tried to piece together when it all began with rOpenSci. On July 13, 2011, an email was sent with the idea of a shared blog, a clever domain name, and a way to connect R packa... [Read more...]

Durations of wars by @ellis2013nz

May 12, 2026 | free range statistics - R

How long do wars last, on average? If a war such as that currently under way in Iran has lasted 74 days so far, how long do we expect it to last in total? For all sorts of reasons, inquiring minds are interested. Luckily there are some very well curate...

Learning Data Science: Why a High R^2 Can Be Misleading

May 11, 2026 | Learning Machines

A high can make a regression model look impressively accurate — but this number can be deceptive. If you want to understand why a high is not always a sign of a good model, read on! In the post, Learning Data Science: Modelling Basics, we built a simple model to predict ...

How to Build an Expected Goals (xG) Model in R with worldfootballR

May 9, 2026 | rprogrammingbooks

Expected goals has become one of the most important concepts in modern football analytics. Instead of judging a team only by goals scored, xG helps us estimate the quality of the chances created. In this tutorial, we will build a practical expected goals model in R using football data, feature ... [Read more...]

One interface, (Almost) Every Classifier (and Regressor): unifiedml v0.3.0

May 8, 2026 | T. Moudiki

News from R package unifiedml, that offers a unified interface to R machine learning models

Edge detection in Python

May 8, 2026 | Francisco de Abreu e Lima

Great strides in artificial intelligence development during the last five years produced agents that are now commonplace at work and home. It is humbling to note that virtually all frontier large language models today trace back to a preprint introducing the transformer neural network architecture – a fifteen-page paper that profoundly ...

Differencing: A Transformation or a Trap?

May 6, 2026 | M. Fatih Tüzen

1 Introduction Differencing is one of the most common transformations in time series analysis. It is also one of the easiest transformations to misunderstand. In many ARIMA-style workflows, differencing is introduced almost mechanically: i...

New Mentoring Team with Experienced Mentors and New Voices

May 5, 2026 | rOpenSci

Read it in: Español. We are excited to introduce the new team of mentors for the rOpenSci 2026 Champions Program! This year we have eleven individuals committed to open science, bringing together a rich diversity of backgrounds and perspectives. The t... [Read more...]

Differential Machine Learning with Twin Networks in R: Forecasting Bitcoin with Volatility Proxies

May 5, 2026 | Selcuk Disci

Introduction Differential Machine Learning (DML), as introduced in the recent arXiv paper (Differential Machine Learning for 0DTE Options with Stochastic Volatility and Jumps), extends supervised learning by incorporating not only function values but also their derivatives. In financial contexts, this often means sensitivities such as Greeks. However, when direct derivatives ...

Setting function parameters for debugging

May 4, 2026 | Jason Bryer

I tend to write a lot of functions that create specific graphics implemented with ggplot2. Although I try to pick graphic parameters (e.g. colors, text size, etc.) that are reasonable, I will typically define all relevant aesthetics as param... [Read more...]

JAGS 5.0.0-beta is available

May 4, 2026 | Martyn

JAGS 5.0.0-beta is now available from SourceForge. The beta release is for two groups of people: Please send feedback via the JAGS forums or file a bug report The JAGS library The following packages are available: The rjags package In … Continue reading →

Comparing R’s {targets} and dbt for Data Engineering

May 3, 2026 | Jonathan Carroll

I’m getting more and more into data engineering these days and having used R for a long time, I’m seeing a lot of problems that look nail-shaped to my R-shaped hammer. The available tools to solve those problems exist for (presumably) very good reasons, so I wanted to ...

The Magic of In-Context Learning (ICL): When Your Model Already Knows Your Data

May 3, 2026 | Learning Machines

Have you ever looked at a freshly plotted scatter plot and immediately thought, “Ah, this is clearly a logarithmic curve with some heteroskedastic noise,” without running a single line of modeling code? How do you do that? You don’t perform gradient descent in your head. You use your intuition! ...

Bad Weather and the Subway

May 2, 2026 | Kieran Healy

Snow in Inwood, New York. Photograph by the author. Recently I’ve been looking at hourly ridership data from the New York City Subway. Last time we learned that people go to work in the morning and come home in the eve... [Read more...]

Learning & Exploring Survival Analysis Part 1 – A Note To Myself

May 1, 2026 | r on Everyday Is A School Day

A note to myself on survival analysis — KM curves, log-rank tests & Cox models 🧮 If I wrote it the way I understood it, maybe I’ll actually remember it 🤞 Motivations We see survival analysis or more generally call...

You Don’t Need to Learn All the Weights on tabular data: The Case for rvflnet (a nonlinear expressive glmnet) on regression, classification and survival analysis

May 1, 2026 | T. Moudiki

rvflnet is an R package that implements a Random Vector Functional Link (RVFL) network. It is a nonlinear expressive version of glmnet that can be used for regression, classification and survival analysis.

Regression Modeling Strategies Short Course 2026, with Frank Harrell; May 14, 15, 18, 19

May 1, 2026 | Drew Levy

Frank Harrell’s Regression Modeling Strategies online seminar will take place May 14, 15, 18, and 19. This workshop covers principled strategies for building, validating, and interpreting multivariable regression models for a wide range of outcomes, with emphasis on predictive accuracy, avoiding overfitting, and interpreting estimated effects. It explores spline methods, data reduction, benefits ... [Read more...]

Reactive Shiny Apps and Deployment with Google Cloud Run: Intermediate R Shiny Workshop

May 1, 2026 | Dariia Mykhailyshyna

Join our workshop on Reactive Shiny Apps and Deployment with Google Cloud Run: Intermediate R Shiny Workshop, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Reactive Shiny Apps and Deployment with Google Cloud Run: Intermediate R Shiny Workshop Date: Thursday, May 21st, 18:00 – 20:00 ... [Read more...]

Closing the Gap in Exposure-Response Data: A Pharmaverse Framework

April 29, 2026 | Jeff Dickinson

The Missing Standard CDISC released the Population Pharmacokinetic (PopPK) Implementation Guide in 2023, giving the clinical programming community a clear structural blueprint for PK analysis datasets. But Exposure-Response (ER) modeling — wh... [Read more...]

rOpenSci News Digest, April 2026

April 29, 2026 | rOpenSci

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! Tomáš Kalibera (1978–2026) The rOpenSci team is deeply saddened at the los... [Read more...]

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