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Break
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Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
Welcome Reception
Contributed talk
All
Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
Machine Learning
Miscellaneous
Packages and Development
Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
Teaching
Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
All
Lightning Talk
Poster
All
Group 1
Group 2
R Initiatives
All
R Initiatives
Sponsor Session
All
Part 1
Part 2
Tutorial
All
Afternoon
Morning
Popular
Back to Speakers
Przemyslaw Jura
UCSF IHPS
San Francisco Bay Area
Monday
, June 27
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
Tuesday
, June 28
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
Wednesday
, June 29
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
Thursday
, June 30
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
Timezone
user2016
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Jun 27
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30, 2016
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Stanford, CA, United States
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Econ 140
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SIEPR 120
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Break
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Break
Conference event
All
Closing
Cruise & Dinner
Opening
Registration
Welcome Reception
Contributed talk
All
Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
Machine Learning
Miscellaneous
Packages and Development
Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
Teaching
Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
All
Lightning Talk
Poster
All
Group 1
Group 2
R Initiatives
All
R Initiatives
Sponsor Session
All
Part 1
Part 2
Tutorial
All
Afternoon
Morning
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Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
John Painter
Gabriela de Queiroz
Joe Cheng
Kevin Ushey
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