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Break
All
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
Xi Chen
University of California, Davis
Sacramento, California Area
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Machine Learning Algorithmic Deep Dive (Part 1)
Campbell Rehearsal Hall
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1)
Econ 140
10:15am PDT
Coffee Break
Campbell Rehearsal Hall
10:30am PDT
Machine Learning Algorithmic Deep Dive (Part 2)
Campbell Rehearsal Hall
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2)
Econ 140
12:00pm PDT
Lunch
Econ 140
Lunch
Campbell Rehearsal Hall
1:00pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1)
SIEPR 130
Introduction to SparkR (Part 1)
Econ 140
Missing Value Imputation with R (Part 1)
Barnes
2:15pm PDT
Coffee Break
Lane
2:30pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2)
SIEPR 130
Introduction to SparkR (Part 2)
Econ 140
Missing Value Imputation with R (Part 2)
Barnes
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
R in machine learning competitions
McCaw Hall
Using Spark with Shiny and R Markdown
SIEPR 130
10:48am PDT
Connecting R to the OpenML project for Open Machine Learning
McCaw Hall
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
11:42am PDT
bayesboot: An R package for easy Bayesian bootstrapping
Barnes & McDowell & Cranston
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:00pm PDT
Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform
SIEPR 120
Continuous Integration and Teaching Statistical Computing with R
SIEPR 130
1:18pm PDT
Fast additive quantile regression in R
Barnes & McDowell & Cranston
1:36pm PDT
A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho
SIEPR 120
CVXR: An R Package for Modeling Convex Optimization Problems
McCaw Hall
1:54pm PDT
Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny
SIEPR 120
2:12pm PDT
Wrap your model in an R package!
SIEPR 120
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
Integrating R & Tableau
Sponsor Pavilion
Visualizations and Machine Learning in R with Tessera and Shiny
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
McCaw Hall
4:45pm PDT
How to keep your R code simple while tackling big datasets
Barnes & McDowell & Cranston
R at Microsoft
McCaw Hall
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
5:21pm PDT
broom: Converting statistical models to tidy data frames
McCaw Hall
Data validation infrastructure: the validate package
Barnes & McDowell & Cranston
5:39pm PDT
xgboost: An R package for Fast and Accurate Gradient Boosting
SIEPR 130
5:57pm PDT
Colour schemes in data visualisation: Bias and Precision
McCaw Hall
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
Importing modern data into R
SIEPR 130
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
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
10:50am PDT
madness: multivariate automatic differentiation in R
SIEPR 120
10:55am PDT
rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports
SIEPR 120
11:00am PDT
Text Mining and Sentiment Extraction in Central Bank Documents
SIEPR 120
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
11:10am PDT
Scaling R for Business Analytics
SIEPR 120
11:15am PDT
Building a High Availability REST API Engine for R
SIEPR 120
11:20am PDT
Automated clinical research tracking and assessment using R-Shiny
SIEPR 120
11:24am PDT
Network Diffusion of Innovations in R: Introducing netdiffuseR
McCaw Hall
11:25am PDT
FirebrowseR an 'API' Client for Broads 'Firehose' Pipeline
SIEPR 120
11:30am PDT
Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers
SIEPR 120
11:35am PDT
R's Role in Healthcare Data: Exploration, Visualization and Presentation
SIEPR 120
11:40am PDT
Chunked, dplyr for large text files
SIEPR 120
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
11:45am PDT
Automated risk calculation in clinical practice and research - the riskscorer package
SIEPR 120
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
R at Google
Lane & Lyons & Lodato
1:18pm PDT
Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics
Econ 140
1:20pm PDT
How Teradata Aster R Scales Data Science
Lane & Lyons & Lodato
1:30pm PDT
Statistical Computing with R
Lane & Lyons & Lodato
1:36pm PDT
GNU make for reproducible data analysis using R and other statistical software
Barnes & McDowell & Cranston
Simulation and power analysis of generalized linear mixed models
Econ 140
1:40pm PDT
Changing lives with Data Science at Microsoft
Lane & Lyons & Lodato
1:54pm PDT
Approximate inference in R: A case study with GLMMs and glmmsr
Econ 140
Spatial data in R: simple features and future perspectives
SIEPR 120
1:55pm PDT
Bringing the Power of R to Citizen Data Scientists
Lane & Lyons & Lodato
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:12pm PDT
brglm: Reduced-bias inference in generalized linear models
Econ 140
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
Bayesian inference for Internet ratings data using R
Sponsor Pavilion
Multiple-Output Quantile Regression in R
Sponsor Pavilion
Reproducible research works_with_R
Sponsor Pavilion
3:30pm PDT
Flexible and Interpretable Regression Using Convex Penalties
McCaw Hall
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:30am PDT
Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape
SIEPR 130
Gradient Boosted Trees Model: deploying R models into production environments*
Lane & Lyons & Lodato
10:35am PDT
Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST)
Econ 140
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
10:48am PDT
Dynamic Data in the Statistics Classroom
Barnes & McDowell & Cranston
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
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
11:06am PDT
Using Shiny for Formative Assessments
Barnes & McDowell & Cranston
11:08am PDT
Superheat: Supervised heatmaps for visualizing complex data
Lane & Lyons & Lodato
11:10am PDT
Event Detection with Social Media Data
Econ 140
11:15am PDT
Convenient educational & psychological test reporting with the QME package & a Shiny UI
Econ 140
11:24am PDT
DataSHIELD: Taking the analysis to the data
McCaw Hall
11:25am PDT
Outlier Detection Methods
Econ 140
11:30am PDT
gtfsr: A package to make transit system analysis easy
Econ 140
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
11:40am PDT
rfmt - A new formatter for R source code
Econ 140
11:42am PDT
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
1:05pm PDT
Visualization of Uncertainty for Longitudinal Data
SIEPR 130
1:15pm PDT
Getting R into your bathroom
McCaw Hall
1:20pm PDT
R for Big Data and Applications: Using R at Oracle
Lane & Lyons & Lodato
1:25pm PDT
Weather Alerts Data with R
SIEPR 130
1:30pm PDT
Thinking about Energy Markets with interactivity
SIEPR 130
1:35pm PDT
Interact with Python from within R
McCaw Hall
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
Let's meet on satRday!
McCaw Hall
1:45pm PDT
Optimizing Food Inspections with Analytics
McCaw Hall
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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McDowell & Cranston
SIEPR 120
SIEPR 130
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Wallenberg Hall 124
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All
Analytics
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Case study
Database
Generalized and mixed models
Graphics
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Kaleidoscope
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Miscellaneous
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Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
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Keynote
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Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
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Lightning Talk
Poster
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Group 1
Group 2
R Initiatives
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R Initiatives
Sponsor Session
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Part 1
Part 2
Tutorial
All
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Morning
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Colin Gillespie
KG
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David Smith
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JP
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