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Zhe Sha
University of Oxford
DPhil Student
Oxford, United Kingdom
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Dynamic Documents with R Markdown (Part 1)
SIEPR 130
Using Git and GitHub with R, Rstudio, and R Markdown (Part 1)
Lyons & Lodato
10:15am PDT
Coffee Break
McDowell & Cranston
Coffee Break
Barnes
10:30am PDT
Machine Learning Algorithmic Deep Dive (Part 2)
Campbell Rehearsal Hall
Small Area Estimation with R (Part 2)
Lane
12:00pm PDT
Lunch
Barnes
Lunch
Lane
Lunch
SIEPR 120
1:00pm PDT
Extracting data from the web APIs and beyond (Part 1)
Campbell Rehearsal Hall
Introduction to SparkR (Part 1)
Econ 140
Using R with Jupyter notebooks for reproducible research (Part 1)
SIEPR 120
2:15pm PDT
Coffee Break
Lyons & Lodato
2:30pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2)
SIEPR 130
Extracting data from the web APIs and beyond (Part 2)
Campbell Rehearsal Hall
Using R with Jupyter notebooks for reproducible research (Part 2)
SIEPR 120
4:00pm PDT
Short Break
McCaw Hall
4:15pm PDT
What's up with the R consortium?
McCaw Hall
4:40pm PDT
Presentation of the Women in R task force
McCaw Hall
5:00pm PDT
R-Ladies Presentation 1
McCaw Hall
5:10pm PDT
R-Ladies Presentation 2
McCaw Hall
5:20pm PDT
Discussion
McCaw Hall
Tuesday
, June 28
8:00am PDT
Registration check-in
McCaw Hall
8:30am PDT
Opening Session
McCaw Hall
9:00am PDT
Forty years of S
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
Using Spark with Shiny and R Markdown
SIEPR 130
10:48am PDT
Compiling parts of R using the NIMBLE system for programming algorithms
Barnes & McDowell & Cranston
RcppParallel: A Toolkit for Portable, High-Performance Algorithms
SIEPR 130
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
FlashR: Enable Parallel, Scalable Data Analysis in R
SIEPR 130
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:18pm PDT
Transforming a museum to be data-driven using R
McCaw Hall
1:36pm PDT
A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho
SIEPR 120
What can R learn from Julia
Lane & Lyons & Lodato
1:54pm PDT
Zero-overhead integration of R, JS, Ruby and C/C++
Lane & Lyons & Lodato
2:12pm PDT
Teaching R to 200 people in a week
SIEPR 130
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
McCaw Hall
4:45pm PDT
mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions
SIEPR 130
R at Microsoft
McCaw Hall
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
5:21pm PDT
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
SIEPR 130
5:39pm PDT
Rho: High Performance R
McCaw Hall
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
Notebooks with R Markdown
McCaw Hall
Empowering Business Users with Shiny
SIEPR 120
10:35am PDT
Bespoke eStyle Statistical Training for Africa: challenges and opportunities of developing an online course
SIEPR 120
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
ETL for medium data
SIEPR 130
11:05am PDT
Maximum Monte Carlo likelihood estimation of conditional auto-regression models
SIEPR 120
11:06am PDT
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO
Econ 140
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:15am PDT
Building a High Availability REST API Engine for R
SIEPR 120
11:24am PDT
Heatmaps in R: Overview and best practices
Barnes & McDowell & Cranston
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
11:42am PDT
Exploring the R / SQL boundary
SIEPR 130
Interactive Terabytes with pbdR
Econ 140
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
A spatial policy tool for cycling potential in England
SIEPR 120
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
SpatialProbit for fast and accurate spatial probit estimations
SIEPR 120
1:36pm PDT
Revisiting the Boston data set (Harrison and Rubinfeld, 1978)
SIEPR 120
1:54pm PDT
Spatial data in R: simple features and future perspectives
SIEPR 120
2:12pm PDT
brglm: Reduced-bias inference in generalized linear models
Econ 140
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
3:30pm PDT
Flexible and Interpretable Regression Using Convex Penalties
McCaw Hall
4:30pm PDT
Cruise & Conference Dinner
McCaw Hall
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
10:35am PDT
Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST)
Econ 140
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
Practical tools for exploratory web graphics
SIEPR 130
10:50am PDT
NetworkRiskMeasures: risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.
Econ 140
11:06am PDT
Estimation of causal effects in network-dependent data
McCaw Hall
11:08am PDT
Superheat: Supervised heatmaps for visualizing complex data
Lane & Lyons & Lodato
11:10am PDT
Event Detection with Social Media Data
Econ 140
11:26am PDT
Big data algorithms for rank-based estimation
Lane & Lyons & Lodato
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
11:42am PDT
Most Likely Transformations
McCaw Hall
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
1:00pm PDT
Hash Tables in R are Slow
SIEPR 130
1:05pm PDT
Visualization of Uncertainty for Longitudinal Data
SIEPR 130
1:10pm PDT
Scalable semi-parametric regression with mgcv package and bam procedure
SIEPR 130
1:15pm PDT
Getting R into your bathroom
McCaw Hall
1:30pm PDT
The Best Time to Post on Reddit
McCaw Hall
1:35pm PDT
Interact with Python from within R
McCaw Hall
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
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Deborah Nolan
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R Initiatives
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Longyi Bi
Diane Grill
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KG
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JP
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