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Mahmoud Shammaa

Charles Schwab & Co.

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

edeaR: Extracting knowledge from process data Econ 140

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:24am PDT

Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

High-performance R with FastR Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion R Microplots in Tables with the latex() Function Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

10:48am PDT

Authoring Books with R Markdown McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall