R-bloggers

Introduction

In my previous post A First Look at TimeGPT using nixtlar, I used the auto.arima() function from the forecast package to fit an ARIMA model to a time series of electricity usage data in order to compare and ARIMA forecast with the TimeGPT foreca...

R 4.5.0 (“How About a Twenty-Six”) was released on 11th April, 2025. Here we summarise some of the interesting changes that have been introduced. In previous blog posts we have discussed the new features introduced in R 4.4.0 and earlier versions...

R Dev Days are events for novice and experienced contributors to collaborate on contributions to the code, documentation and translations in base R. There are several planned in the coming months with application/registration deadlines in the ne...

2024 Videos Considering a ticket for Shiny in Production 2025 but unsure what to expect? Maybe you attended in past years but missed out in 2024, or you simply want a refresher on last year’s highlights. Whatever the case, the video player below has you covered! Explore six in-depth talks, four lightning ...

ShinyConf 2025 is almost here! From April 9 to 11, thousands of data scientists, developers, and Shiny fans will come together online to share ideas, build skills, and connect. Whether you’re joining for the workshops, the talks, the networking, or all of it, this post will walk you through how to get ...

Python and R examples of use of the Theta model for GLMs and attention (context)

A few years ago, we started working with a global pharma company who brought us a particularly thorny challenge. They wanted to use R for FDA submissions—but every package they introduced had to pass through a slow, resource-intensive process to ...

BlueSky Statistics LLC has published the third edition of the User Guide, written by yours truly. It is exclusively available for order here. The previous 6″x 9″ format would have run over 700 pages, so we switched to 8.5″x 11″ to reduce the page count to 533. While this new edition is available only ...

The aggregate function can be very useful in R, allowing one to run a function (e.g. mean) within groups of rows, in each column in a matrix/data-frame and organize the results in an easy-to-read table. However, the function takes long to run for very ...

Soon after Trump’s tariffs were announced, it was noted the ‘reciprocal’ tariffs looked suspiciously like the US trade deficit divided by imports. Ever the skeptic, I couldn’t believe it could be this simple, so I decided to check it out myself with the help of R and UN ...