R-bloggers

Join our workshop on Shinyscholar – a template for producing reproducible analytic apps in R, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Shinyscholar – a template for producing reproducible analytic apps in R Date: Thursday, June 5th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: ... [Read more...]

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Example of use of tisthemachinelearner; a lightweight interface to scikit-learn in R: probabilistic time series forecasting in conjunction with ahead::dynrmf [Read more...]

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From dashboards to decisions — AI is now the analyst. Explore how analytics agents are transforming media teams by providing instant insights and automated analysis. [Read more...]

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Hello pharmaverse community! I’m thrilled to announce that Ashley Tarasiewicz will be taking over the Atorus seat from me on the Pharmaverse council. Ashley has been a contributor to the pharmaverse since the early days of its inception, contr... [Read more...]

Introduction GitHub has recently announced that Windows ARM64 runners are now available under the windows-11-arm label. I help maintain an R package, TwoSampleMR, which has quite alot of users. The package is not on CRAN because several of its depend... [Read more...]

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Join our workshop on Assessing rating scale dimensionality through bifactor model-based indices in R, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Assessing rating scale dimensionality through bifactor model-based indices in R Date: Thursday, May 15th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) Speaker: ... [Read more...]

The exemption of key electronic components from tariffs is likely to positively impact Apple more, which manufactures approximately 90% of its iPhones in China, compared to other tech giants like Microsoft and Nvidia. Furthermore, the k-means clustering chart shows that Apple has diverged year to date, specifically after the April 2 tariffs. ... [Read more...]

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Goal Our goal for this exercise sheet is to learn the basics of mlr3 for supervised learning by training a first simple model on training data and by evaluating its performance on hold-out/test data. German Credit Dataset The German credit dat... [Read more...]

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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 tooling, both between Epiverse ... [Read more...]

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