It’s been almost a month since the last release of our framework for enterprise Shiny applications, so it’s time for Rhino 1.7! This version comes with new rules for the R linter, more consistent loading behavior, and automatic app reloading during development. Read on for the details! Curious about ...

Download data from the R-Universe API with nnetsauce. Automated Machine Learning, Interpretability and prediction intervals using conformal prediction.

Imagine you are responsible for maintaining the mean and variance of a dataset that is frequently updated. For small-to-moderately sized datasets, much thought might not be given to the method used for recalculation. However, with datasets consis...

Imagine you are responsible for maintaining the mean and variance of a dataset that is frequently updated. For small-to-moderately sized datasets, much thought might not be given to the method used for recalculation. However, with datasets consi...

Imagine you are responsible for maintaining the mean and variance of a dataset that is frequently updated. For small-to-moderately sized datasets, much thought might not be given to the method used for recalculation. However, with datasets consi...

If you’re a regular visitor to our blog you may have noticed some recent changes we hope will make it easier to find what you’re looking for (or interesting stuff you weren’t). The blog “home” page, “/blog” now shows a card for every post with title, author, ...

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