tidyposterior slides

tidyposterior is an R package for comparing models based on their resampling statistics. There are a few case studies on the webpage to illustrate the process.

I gave a talk at the Open Data Science Conference (ODSC) yesterday. A pdf of the slides are here and the animated gif above is here.

Lots of Package News

I've sent a slew of packages to CRAN recently (thanks to Swetlana and Uwe). There are updates to:

• caret was primarily updated to deal with an issue introduced in the last version. It is a good idea to avoid fully loading the underlying modeling packages to avoid name conflicts. We made that change in the last version and it ended up being more complex than thought. A quirk in the regression tests missed it too but the whole thing can be avoided by loading the modeling package. news file

• rsample had some modest additions including bridges to caret and recipes. The website added more application examples (times series and survival analysis). news file

• recipes had more substantial enhancments including six new steps, a better interface for creating interactions (using selectors), and the ability to save the processed data in a sparse format. news file

• Cubist and C50 have been updated and brought into the age of roxygen and pkgdown. C5.0 now has a nice plot method a la partykit and now has a vignette. I'll be adding a few features to each over time.

Two new packages:

• yardstick contains many of the performance measurement methods in caret but in a format that is easier to use with dplyr syntax and functional programming.

• tidyposterior is a Bayesian version of caret's resamples function. It can be used to take the resampling results from multiple models and do more formal statistical comparisons. It is similar in spirit to Benavoli et al (2017). We are looking for nominations for the hex logo so please offer your suggestions (but keep it clean).

2016 UK Tour

I'll be in the UK next week doing three talks in three days:

• First, I'll be giving a talk at the London R-Ladies meetup on Monday October 3rd with perhaps the best title yet: Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling and caret.
• On Tuesday, October 4th I'm giving a talk at the Cambridge RUG on tuning hyperparameters using optimization algorithms. This is an extension of this blog post.
• Finally, on Wednesday (the 5th) at the fantastic Nonclinical Statistics Conference, I'll be speaking on Statistical Mediation in Early Discovery by Bayesian Analysis and Visualization. The banner image above is from this talk. Lots of priors and shiny apps.