Naturally, I talked about Stan. The point I wanted to get across was that statsitical modeling should be treated as a discipline. On the stan-users list and what I know to be common practice, I see people embedding statistical models within scripts. This makes it hard to collaborate and the software world has figured this out with tools like git.
We collaborate all the time. For the statistical models built for the Machine Madness Kaggle competition, we built models, checked them in, discussed them. If Rob Trangucci wasn’t around, we woudln’t have competed this year.
Jared Lander, Jessica Lin, and the two crews from Lander Analytics and Work-Bench did a great job of organizing the conference. Each speaker was given 20 minutes to talk; no questions. It ran pretty smoothly and I picked up a lot of information about R’s development.
For me, highlights included:
JJ’s talk on RStudio’s new features and bookdown.org
Alp’s talk on ADVI
Andrew’s talk on social penumbras
Drew’s talk on social aspects of data science
Vivian’s talk about evoking emotions through data
Bas’s talk on program analysis
Josh’s talk on building packages for use at New York Times
A recurring theme this year was testing, which is a big step in the right direction.
It’s been a while since I’ve had a gig. Been a little preoccupied with Stan, moving, a renovation, and a whole slew of other things. DJ Dalkesh asked me to do a guest spot at his monthly Rent Party at Broadway Dive on the Upper West Side.
Funk, soul, and hip hop all night. (good thing too… I don’t have the chops any more to do anything else.) Come through. It’ll be fun.