Major Update for revss Package for R – v3.1.0

March 18, 2026 | Avi

The revss Package for R Receives Major Update to Version 3.1.0 This is a big one! The revss package for R, which provides robust estimation for small samples, received a major, breaking update. The entire calculation engine was rewritten, new functionality added, and massive Monte Carlo analyses were run to calculate ...
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Bio7 3.6 Released

March 17, 2026 | Marcel Austenfeld

17.03.2026 A new release of Bio7 is available.The application Bio7 is a free and open-source integrated development environment for ecological modeling, scientific image analysis and statistical analysis. Beside other programming tools it contains a feature complete development environment for R with an advanced R editor, R developer tools and interfaces ...
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Bayesian Linear Regression in R: A Step-by-Step Tutorial

March 14, 2026 | rprogrammingbooks

Bayesian linear regression is one of the best ways to learn Bayesian modeling in R because it combines familiar regression ideas with a more realistic treatment of uncertainty. Instead of estimating a single fixed coefficient for each parameter, Bayesian methods estimate full probability distributions. That means we can talk about ... [Read more...]

Is Your Dashboard User Friendly?

March 12, 2026 | The Jumping Rivers Blog

For a while we, at Jumping Rivers, have offered a Dashboard Health Check (DHC) largely focused around backend features and other facets the end-user doesn’t see: things like version control, documentation and deployment. However, the DHC also included a few checks related to user experience and accessibility. While we’...
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MBBEFDLite has its mature release

March 10, 2026 | Avi

The MBBEFD Distribution After two years, the MBBEFDLite package for R is finally mature! As a brand-new actuary, in my first job, I had the privilege of working with Dr. Stefan Bernegger at Swiss Reinsurance. Albeit I did not have much to do with him—I was a one-exam, no ...
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Sharing data across shiny modules, an update

March 10, 2026 | Colin Fay

You can read the original post in its original format on Rtask website by ThinkR here: Sharing data across shiny modules, an update Some people have recently been vocal about misuses of the “stratégie du petit r”, a mechanism for sharing data across {shiny} modules that was detailed both ...
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