R-bloggers

This is a follow-up post. If you are interested in other posts of this series, please go to: https://www.statforbiology.com/tags/drcte/. All these posts exapand on a paper that we have recently published in the Journal ‘Weed Science’; please follow ...

Introduction I am a massive fan of repositories making binary R packages available. This includes the canonical CRAN repositories, r-universe, r2u, and the Posit (Public) Package Manager, and there are others. R-universe is outstanding because it bu...

If you’ve ever worked with spatial data in R, this may ring a bell…

Working with Water, Sanitation, and Hygiene (WASH) researchers across multiple resource-limited countries, we observed that valuable datasets often remain underutilized. This is frequently due to limited familiarity with FAIR (Findable, Accessib...

Great news, everyone! smooth package for R version 4.4.0 is now on CRAN. Why is this a great news? Let me explain! On this page: What’s new? Evaluation Setup Results What’s next? Here is what’s new since 4.3.0: First, I have worked on tuning the initialisation in adam() in ...

I am excited to introduce a new R package called flownet providing high-performance tools for transport modeling—network processing, route enumeration, and traffic assignment in R. As of now, the package implements the Path-Sized Logit (PSL) model (Ben-Akiva and Bierlaire, 1999)—a powerful and well-established method for stochastic traffic assignment accounting ...

Reposted from the original at https://blog.stephenturner.us/p/openai-codex-app-qqman.Earlier this week I reposted a Bluesky post from Ethan Mollick. I’m on the same page here — there are problems for sure, but these tools have irreversibly changed th...

In December, one hundred ninety-six new packages made it to CRAN. Here are my Top 40 picks in nineteen categories: Agriculture, Artificial Intelligence, Audio Analysis, Causal Inference, Computational Methods, Ecology, Econometrics, Epidemiology...

I am very happy to announce the release of dfms version 1.0 (and 0.4.0 just a week earlier, see news), implementing major features such as support for dynamic factor models (DFMs) with autoregressive errors, mixed-frequency (monthly-quarterly) DFMs, including with autoregressive errors, and decomposition of forecast revisions into news releases (updates to time ...