R-bloggers

R-bloggers is a platform that leverages the content from various documents to provide concise summaries for its audience. The platform serves as a hub for information and insights related to a wide range of topics. By summarizing the content from diverse sources, R-bloggers aims to offer valuable and easily digestible information to its readers. The platform’s summaries are designed to provide a quick overview of the key points and insights covered in the original documents, making it a convenient resource for individuals interested in staying informed about the latest developments in various fields.

Visit R-bloggers

Quantitative Horse Racing with R: Calibration, Backtesting, and Deployment

R-bloggers

R DuckDB Parquet Calibration Ranking Bayesian Odds TS Backtesting Racing analytics as an inference-and-decision system Thoroughbred flat racing is not a binary classification problem. It is a multi-co...

You can do more for neural networks in R with {kindling}

R-bloggers

This post has been written in collaboration with Joshua Marie. Why this post matters Neural networks in R are no longer niche. Today, we can choose among: {nnet} for classic, small-scale neural nets, ...

Keeping files organised for publication

R-bloggers

Getting files ready for publication can be frustrating when you can’t find the right file, or you realize your figures look like 2000s jpeg. Here’s a list of things I wished I’d done (or my students h...

Jumping Rivers Now Approved to Sell Services Through DOS7: Crown Commercial Services

R-bloggers

Jumping Rivers has been approved to sell our services through the Crown Commercial Service CCS. For UK public sector organisations, this is an important milestone. It means there is now a simpler, com...

Pacific diaspora by @ellis2013nz

R-bloggers

This post is the fourth of a series of (probably) seven on population issues in the Pacific, re-generating the charts I used in a keynote speech before the November 2025 meeting of the Pacific Heads o...

Modeling Bitcoin Volatility Through Structural Breaks: A Compositional Perspective

R-bloggers

Recent advances in time series modeling have emphasized the importance of structural breaks—abrupt changes in the underlying dynamics of financial or economic data. The paper “Directional-Shift Dirich...

What’s new in flextable 0.9.11

R-bloggers

‘patchwork’ integration Aligning rows with flex_body Aligning columns with flex_cols Quarto markdown in cells ‘flextable’ 0.9.11 has recently landed on CRAN. It ships two features we are happy to intr...

A Star is Born: Why GitHub Stars Are Vital to the Pharmaverse

R-bloggers

The Smallest Contribution You’re Probably Not Making You’ve used {admiral} to derive your ADSL. You’ve leaned on {metacore} to wrangle your metadata. You’ve validated your XPT files with {xportr} and ...

Upcoming Workshop: Data Analysis in R with the Tidyverse

R-bloggers

Next week I’m teaching a three‑session, hands‑on introduction to data analysis in R using the tidyverse, hosted by Instats in partnership with the American Statistical Association. We’ll meet February...

Oops, Git! How to recover from common mistakes workshop

R-bloggers

Join our workshop on Oops, Git! How to recover from common mistakes, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Oops, Git! How to recover from common mistakes D...

CDCPLACES 1.2.0

R-bloggers

Place geography, 2025 data, and a major reliability overhaul. Continue reading: CDCPLACES 1.2.0

Understanding Boosted Configuration Networks (combined neural networks and boosting): An Intuitive Guide Through Their Hyperparameters

R-bloggers

How BCN combine neural networks and boosting, explained through the knobs you can turn Continue reading: Understanding Boosted Configuration Networks (combined neural networks and boosting): An Intuit...