R-bloggers

A flexible hybrid approach to probabilistic stock forecasting that combines statistical model with ARCH effects, offering an alternative to traditional ARMA-GARCH models

We’re pleased to announce a new collaboration between the Bioconductor Training Committee and Physalia Courses, aimed at expanding access to high-quality training in bioinformatics and computational biology. This partnership builds on share...

As is often the case, it’s pretty easy to talk about “good” R packages. We can even wave our hands and talk about packages following “software standards” or “best practices”. But what does that mean? Most of us would agree that packages lik...

The kendallknight package introduces an efficient implementation of Kendall’s correlation coefficient computation, significantly improving the processing time for large datasets without sacrificing accuracy. The kendallknight package, following K...

Learn how to build a flash-card style question bank using Google Sheets as storage, R’s Plumber API, and host it on a Digital Ocean droplet—step-by-step setup, deployment, and tips. Motivations One of my colleagues wanted ...

Examples of use of ahead::mlf for univariate probabilistic time series forecasting

We are pleased to announce the full line-up for this year’s Shiny in Production conference! The conference includes nine full-length talks (25 minutes each) and a lightning talk session (5 minutes per talk), we’ll cover those in a separate blog. Register now Talks Cameron Race - Head of Children and ...

Silver, Nasdaq Blockchain Economy Index, Bitcoin, and iShares Semiconductor ETF are always thought of as correlated with each other by investors. We will test this perception with the corrr package. The common perception appears to be correct based on the correlation analysis, specifically between the Nasdaq Blockchain Economy index and ...

A recent seminar introduced me to a new kind of statistical inference called post-Bayesianism. It has its own website, seminar series, Youtube videos and, most importantly, a cool name1. Will it catch on? I don’t know, but I think it’s interesting, and...

Remember our journey so far? We started with simple Markov chains showing how statistical word prediction works, then dove into the core concepts of word embeddings, self-attention, and next word prediction. Now, it’s time for the grand finale: if you want to build your own working transformer language model ...

I’m happy to share that my latest research paper, “Semi-Markov modeling for disease incidence risk and duration” has been accepted for publication in the journal Biostatistics & Epidemiology (Soetewey et al., 2025). Read the full paper here. T...

      Gematria is a Greek word for the practice of assigning numerical values to letters. In Hebrew it has been used to interpret Jewish texts, particularly the Bible, by attempting to discover hidden meanings or connectio...

Your statistical model is built, and your p-values are perfect, but is your conclusion valid? What if a single, overlooked duplicate entry in your dataset is silently skewing your results, leading to flawed insights? How can you be certain that the data you're analyzing is clean, accurate, and trustworthy?The ...

It’s been 18 years since ggplot2 revolutionized data visualization in R. To celebrate this milestone, I’m offering a special bundle deal on my data visualization books. The “Beautiful Plots Across Languages” Bundle For just $19.99 USD, get two ...