Welcome, Nick Masel

February 19, 2026 | pharmaverse council

Hi pharmaverse community, On behalf of the council we are pleased to announce that Nick Masel will be taking over from Sumesh Kalappurakal as the J&J representative on the Pharmaverse Council. Please join us in thanking Sumesh for his lead...
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Quantitative Horse Racing with R: Calibration, Backtesting, and Deployment

February 19, 2026 | rprogrammingbooks

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-competitor outcome process with hierarchy (horse / trainer / jockey / track), time dependence (form cycles, market moves), and decision layers (how you act on probabilities). ... [Read more...]

Keeping files organised for publication

February 18, 2026 | Seascapemodels

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 had done) properly earlier in the paper prep p... [Read more...]

Modeling Bitcoin Volatility Through Structural Breaks: A Compositional Perspective

February 17, 2026 | Selcuk Disci

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 Dirichlet ARMA Models for Compositional Time Series with Structural Break Intervention” (Katz, 2026) introduces a Bayesian framework that captures these breaks using three interpretable ...
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What’s new in flextable 0.9.11

February 16, 2026 | ArData

‘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 introduce: ‘patchwork’ integration: aligning...
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Upcoming Workshop: Data Analysis in R with the Tidyverse

February 16, 2026 | Ari Lamstein

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 24–26, from 8–11am PT each day — three focused mornings designed to give participants a clear, modern workflow from ...
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Machine Learning for Sports Analytics in R: A Complete Professional Guide

February 15, 2026 | rprogrammingbooks

Table of Contents 1. Introduction to Machine Learning in Sports Analytics Machine Learning has transformed modern sports analytics. What was once limited to box scores and descriptive statistics has evolved into predictive modeling, simulation systems, optimization engines, and automated scouting pipelines. Today, teams, analysts, researchers, and performance departments rely on machine ... [Read more...]
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