📢 The #RStats {tidyverse} many models approach hasn’t received much attention lately. In my recent blog post, I recap the original approach, update it using the latest {dplyr} syntax and introduce a couple of extensions. 📝 Any feedback welcome! tim-tiefenbach.de/post/2023-dply…
Here's a sneak peek at the workflow covered in this blog post.
@TimTeaFan I really hope elements of this get adopted in the second edition of the r4ds book.
@TimTeaFan This is still a mainstay of data analysis for me. Summarising data by fitting a variety of models and then analysing/visualising model parameters is a great way to do EDA.
@TimTeaFan Excellent post, so much to learn/grok, and very well explained! Now to work it into my daily routines.
@TimTeaFan @SolomonKurz Great post and great point in this paragraph: "While ‘tidymodels’ is a strong framework with definite advantages when working with various algorithms and model engines, it comes with considerable conceptual and syntactic overhead..." Strong justification for many models approach.