Another quick preview of my R-packages, especially sjPlot, which now also support brmsfit-objects from the great brms-package. To demonstrate the new features, I load all my „core“-packages at once, using the strengejacke-package, which is only available from GitHub. This package simply loads four packages (sjlabelled, sjmisc, sjstats and sjPlot). ...

A how to in setting up shinyproxy as a production level way of deploying multiple containerised shiny as well as python apps with authentication.

A reminder that when idle queries pop into your head, the answer can often be found using R + online data. And a brief excursion into accessing the Weather Underground. One interesting aspect of Australian life, even in coastal urban areas like Sydney, is that sometimes it just stops raining. For ...

Recently, I joined the development team for bayesplot, an R package by the Stan team for plotting Bayesian models. Because visualizing Bayesian models in ggplot2 is a recurring topic here, it was a natural fit. So from time to time, I’ll post about some programming techniques and new features ...

This tutorial presents an example of application of RNN to text classification using padded and bucketed data to efficiently handle sequences of varying lengths. Some functionalities require running on a GPU with CUDA. Example based on sentiment analy...

One of the really appealing features of the mgcv package for fitting GAMs is the functionality it exposes for fitting quite complex models, models that lie well beyond what many of us may have learned about what GAMs can do. One of those features that I use a lot is ...

We're only a few weeks away! Don't miss keynotes from Mara Averick, David Robinson and Tareef Kawaf! They will be joined by speakers from DataCamp, Crunch, Pfizer, GfK, ...