I got back from #JSM2015 in Seattle yesterday.  While I was there I compiled this list of links of interesting things (talks, R packages, etc.) that I took away from JSM2015.  There are a ton of slides that I would love to add to this list (i.e. the rest of the talks from the session that @styatsbylopez organized), so if you have a link to anything like that, please send it my way and I’ll add it.

Cheers.

Interesting talks at JSM:

• “Automatic Forecasting at Scale” Sean Taylor (@seanjtaylor)
• “Relax, I’m a Data Scientist” Jenny Bryan (@JennyBryan)
• “Interactive graphics for high-dimensional genetic data” Karl Broman (@kwbroman)
• “How Industry Views Data Science Education in Statistics Departments“, Chris Volinsky (@statpumpkin )
• “intRo: Statistical Analysis Software for Teaching“, Erix Hare and Andee Kaplan
• “Data Wrangling for the Lahman“, Ben Baumer (@baumerben)
• “Recent Advances in Interactive Graphics for Data Analysis“, Carson Sievert

Interesting talks at JSM about Sports (with some R packages): 

• “Building an NCAA men’s basketball predictive model and quantifying its success” My slides. (@statsinthewild)
• “Refs – They’re Just Like Us! Adversarial and Social Pressures in the NFL“, Mike Lopez (@statsbylopez)
• The full working paper about referees behavior under pressure, Mike Lopez
• “Acquiring, Visualizing, and Modeling MLB Umpire Strike/Ball Decisions with PITCHf/x Data“, Carson Sievert (@cpsievert)
• Pitch RX, Carson Sievert
• The Deuce package in R for tennis data, Stephanie Kovalchik
• Paper: “A Machine Learning Strategy for Predicting March Madness Winners“, Jordan Gumm, Andrew Barrett, and Gongzhu Hu

Shameless self-promotion:

• openWAR package
• opeWAR paper

Interesting links from JSM:

• ASA curriculum guidelines
• Information about Datafest
• HTML Widgets by @Rstudio
• Man Games Lost
• “U.S. Gun Deaths in 2013” (@Periscopic)
• “Statistical Model Predicts Play-calling of NFL Teams with High Accuracy” http://www.scientificcomputing.com