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Category: Blogging
Running R on Windows on ARM on GitHub Actions
[This article was first published on R | Dr Tom Palmer, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content…
Assessing rating scale dimensionality through bifactor model-based indices in R workshop
[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here…
Announcing the Jumping Rivers Dashboard Gallery
At Jumping Rivers we love data dashboards and are delighted to announce the release of a gallery to showcase our application-development skills. Tools like Shiny, Dash, Streamlit and Observable have simplified the…
K-Means Clustering Analysis of Apple, Microsoft, and Nvidia
[This article was first published on DataGeeek, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here…
Choroplethr v4.0.0 is now on CRAN
[This article was first published on R – Ari Lamstein, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on…
Getting My Feet Wet With `Plumber` and JavaScript
Tried out plumber and a bit of JavaScript to build a simple local API for logging migraine events 🧠💻. Just a quick tap on my phone now records the time to a…
AI-generated code comes with security risks
[This article was first published on R / Notes, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers?…
Extending the Theta forecasting method to GLMs, GAMs, GLMBOOST and attention: benchmarking on Tourism, M1, M3 and M4 competition data sets (28000 series)
Last week, I presented a new version of ahead, which includes an extension of the Theta forecasting method to Generalized Linear Models (GLMs), GAMs, GLMBoost, and an attention mechanism (work in progress)….
Integration testing in Epiverse-TRACE
In Epiverse-TRACE we develop a suite of R packages that tackle predictable tasks in infectious disease outbreak response. One of the guiding software design principles we have worked towards is interoperability of…