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VR

Vladimir Ryzhov

Hyper Hippo

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1) Barnes

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140 Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2) Barnes

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

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

11:06am PDT

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

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130 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 FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:54pm PDT

Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

2:30pm PDT

shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130 New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification SIEPR 130 Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

R AnalyticFlow 3: Interactive Data Analysis GUI for R Lane & Lyons & Lodato RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston Rectools: An Advanced Recommender System SIEPR 130

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

OPERA: Online Prediction by ExpeRts Aggregation Barnes & McDowell & Cranston

10:48am PDT

permuter: An R package for randomization inference Barnes & McDowell & Cranston

11:24am PDT

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

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

Reusable R for automation, small area estimation and legacy systems Barnes & McDowell & Cranston

1:18pm PDT

How to use the archivist package to boost reproducibility of your research Barnes & McDowell & Cranston

1:36pm PDT

GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:54pm PDT

The simulator: An Engine for Streamlining Simulations Barnes & McDowell & Cranston

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm PDT

Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall