Simulating "Posterior" Predictions from Non-Bayesian Fits Today, let us talk simulating the outcomes of a fit model - one fit without Bayesian methods. Read more →

Roaring Back into Mobility in the US Post-Covid-Lockdown As part of the Covid19R Project, I’ve been working on a new package, covid19mobility. It started as an effort to pull in the Apple Mobility Trends, and has since morphed as more mobility data comes out. Right now, I’m working through the Google Mobility Data, & I’m interested in the Descartes mobility data and any others you can suggest down below (link to source)! But the data itself - it’s FASCINATING!

Best GF Pancakes Yet I love pancakes. My wife loves pancakes. My daughter LOVES chocolate pancakes (and takes a picture with her face smeared in chocolate every time she she finishes eating chocolate chip pancakes). But… my daughter has celiac. So, I’ve been working through a lot of GF pancake recipies, or using GF flour (Cup 4 Cup is hands down THE BEST) with regular recipes to make them. I kept being unsatisfied, but, eventually learned a basic formula to them.

The Covid19R Project We want our coronavirus data! We want it now! We want it TIDY! tl;dr Go check out the Covid19R project and it’s documentation - a way for many people to bring their unique data harvesting efforts of Covid-19 data into a single tidy data format, and then be redistributed through a single low-dependency package, covid19R. It’s all one big work-in-progress, but check it out! OK, the story! Back in February (remember February), while teaching data science, I was trying to think of ways to spice up the class with more relevant data.