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Category: Blogging
Share Your Shiny Expertise at ShinyConf 2025!
Hey Shiny Enthusiasts! ShinyConf 2025 is just around the corner, and we’re thrilled to invite you to be a part of it! Whether you’ve been working with Shiny for years or just…
From Code to Compliance: Validated Shiny Apps with Rhino
Developing GxP-validated applications that comply with strict regulatory requirements has been a significant challenge in the past, particularly due to the lack of tooling around good software development practices. This is no…
Anomaly Detection of the S&P 500
[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…
Thinking about covariates in an analysis of an RCT
I was recently discussing the analytic plan for a randomized controlled trial (RCT) with a clinical collaborator when she asked whether it’s appropriate to adjust for pre-specified baseline covariates. This question is…
rOpenSci News Digest, January 2025
Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ rOpenSci 2024…
R for SEO Part 9: Web Scraping With R & Rvest
[This article was first published on R | Ben Johnston, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on…
December 2024 Top 40 New CRAN Packages
Agriculture pacu v0.1.44: Provides support for a variety of commonly used precision data science agriculture operations, including functions to download and process raw satellite images from Sentinel-2, functions to download vegetation index…
Gradient-Boosting and Boostrap aggregating anything (alert: high performance): Part5, easier install and Rust backend
I recently released the genbooster Python package (usable from R), a Gradient-Boosting and Boostrap aggregating implementations that uses a Rust backend. Any base learner in the ensembles use randomized features as a…
Decomposing within and between person effects in longitudinal data with SEM 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…