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SS

Samuel Stapleton

Boeing

9:00am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120

10:30am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120

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

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston

10:48am PDT

Compiling parts of R using the NIMBLE system for programming algorithms Barnes & McDowell & Cranston

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

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

Simulation of Synthetic Complex Data: The R-Package simPop SIEPR 120

5:03pm PDT

When will this machine fail? SIEPR 120

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

10:48am PDT

ETL for medium data SIEPR 130

11:06am PDT

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall