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Przemyslaw Jura

UCSF IHPS
San Francisco Bay Area

9:00am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 1) SIEPR 120 Small Area Estimation with R (Part 1) Lane

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

Handling and analyzing spatial, spatiotemporal and movement data (Part 2) SIEPR 120 Small Area Estimation with R (Part 2) Lane

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato Understanding and creating interactive graphics (Part 1) McDowell & Cranston

2:15pm PDT

Coffee Break Lane

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 2) Lane Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato Understanding and creating interactive graphics (Part 2) McDowell & Cranston

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130 Two-sample testing in high dimensions Lane & Lyons & Lodato

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston Taking R to new heights for scalability and performance SIEPR 130

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 United Nations World Population Projections with R McCaw Hall

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130 How can I get everyone else in my organisation to love R as much as I do? Econ 140 jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130 Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion High-performance R with FastR Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion mvarVis: An R package for Visualization of Multivariate Analysis Results Sponsor Pavilion R Microplots in Tables with the latex() Function Sponsor Pavilion Using R with Taiwan Government Open Data to create a tool for monitor the city's age-friendliness Sponsor Pavilion Visualizations and Machine Learning in R with Tessera and Shiny Sponsor Pavilion Writing a dplyr backend to support out-of-memory data for Microsoft R Server Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

10:30am PDT

Notebooks with R Markdown McCaw Hall

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:45am PDT

MAVIS: Meta Analysis via Shiny SIEPR 120

10:48am PDT

Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package Lane & Lyons & Lodato permuter: An R package for randomization inference Barnes & McDowell & Cranston Size of Datasets for Analytics and Implications for R Econ 140 Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:05am PDT

Maximum Monte Carlo likelihood estimation of conditional auto-regression models SIEPR 120

11:06am PDT

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall Exploring the R / SQL boundary SIEPR 130 Interactive Terabytes with pbdR Econ 140

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:18pm PDT

SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:30pm PDT

Coffee Break with Poster Session McCaw Hall The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion Time Flies - Use R to Analyze the Changing Airline Industry Sponsor Pavilion

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:40am PDT

Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package Econ 140

10:45am PDT

Clustering of Hierarchically-Linked Multivariate Datasets Econ 140

10:55am PDT

GeoFIS: an R-based open source software for analyzing and zoning spatial data Econ 140

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:25am PDT

Outlier Detection Methods Econ 140

11:35am PDT

Handling Huge Hierachical Data in R Econ 140

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130 Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:35pm PDT

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

1:40pm PDT

Interactive dashboards for visual quality control of air quality data SIEPR 130

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall