This event has ended. Visit the
official site
or
create your own event on Sched
.
user2016
Click here to return to main conference site
. For a one page, printable overview of the schedule,
see this
.
Schedule
Simple
Expanded
Grid
By Venue
Map
Speakers
Attendees
Search
or browse by date + venue
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
menu
Menu
Log in
Schedule
Speakers
Attendees
Search
← Back
SJ
Scott Jacobs
St. Mary's College of Moraga
Monday
, June 27
9:00am PDT
Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1)
Barnes
Using Git and GitHub with R, Rstudio, and R Markdown (Part 1)
Lyons & Lodato
10:15am PDT
Coffee Break
Wallenberg Hall 124
10:30am PDT
Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2)
Barnes
Using Git and GitHub with R, Rstudio, and R Markdown (Part 2)
Lyons & Lodato
12:00pm PDT
Lunch
Lyons & Lodato
1:00pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1)
SIEPR 130
2:15pm PDT
Coffee Break
McDowell & Cranston
2:30pm PDT
An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2)
SIEPR 130
Tuesday
, June 28
10:30am PDT
bamdit: An R Package for Bayesian meta-analysis of diagnostic test data
Barnes & McDowell & Cranston
10:48am PDT
Implementing R in old economy companies: From proof-of-concept to production
Econ 140
Two-sample testing in high dimensions
Lane & Lyons & Lodato
11:06am PDT
Bayesian analysis of generalized linear mixed models with JAGS
Barnes & McDowell & Cranston
11:24am PDT
Automating our work away: One consulting firm's experience with KnitR
Econ 140
11:42am PDT
bayesboot: An R package for easy Bayesian bootstrapping
Barnes & McDowell & Cranston
1:00pm PDT
Linking htmlwidgets with crosstalk and mobservable
McCaw Hall
1:18pm PDT
htmlwidgets: Power of JavaScript in R
Lane & Lyons & Lodato
1:36pm PDT
What can R learn from Julia
Lane & Lyons & Lodato
1:54pm PDT
Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny
SIEPR 120
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
2:30pm PDT
Applied Biclustering Using the BiclustGUI R Package
Sponsor Pavilion
DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package
Sponsor Pavilion
mvarVis: An R package for Visualization of Multivariate Analysis Results
Sponsor Pavilion
R Shiny Application for the Evaluation of Surrogacy in Clinical Trials
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
McCaw Hall
4:45pm PDT
Simulation of Synthetic Complex Data: The R-Package simPop
SIEPR 120
5:03pm PDT
Deep Learning for R with MXNet
SIEPR 130
5:21pm PDT
broom: Converting statistical models to tidy data frames
McCaw Hall
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
SIEPR 130
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
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
Predicting individual treatment effects
Lane & Lyons & Lodato
Profvis: Profiling tools for faster R code
Econ 140
10:48am PDT
Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package
Lane & Lyons & Lodato
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
11:24am PDT
Network Diffusion of Innovations in R: Introducing netdiffuseR
McCaw Hall
11:42am PDT
Exploring the R / SQL boundary
SIEPR 130
11:45am PDT
Automated risk calculation in clinical practice and research - the riskscorer package
SIEPR 120
1:00pm PDT
mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB)
Econ 140
1:18pm PDT
SpatialProbit for fast and accurate spatial probit estimations
SIEPR 120
Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics
Econ 140
1:54pm PDT
The simulator: An Engine for Streamlining Simulations
Barnes & McDowell & Cranston
2:12pm PDT
Using R in a regulatory environment: FDA experiences.
McCaw Hall
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
Bayesian inference for Internet ratings data using R
Sponsor Pavilion
Plotting for Marketers - Seeing the Story
Sponsor Pavilion
Profile Analysis of Multivariate Data Using the profileR Package
Sponsor Pavilion
The markovchain R package
Sponsor Pavilion
The Use of Ensemble Learning Methods in Open Source Data Challenges
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
A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data
Econ 140
10:48am PDT
Authoring Books with R Markdown
McCaw Hall
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
NetworkRiskMeasures: risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.
Econ 140
11:25am PDT
Outlier Detection Methods
Econ 140
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
1:05pm PDT
Visualization of Uncertainty for Longitudinal Data
SIEPR 130
1:15pm PDT
Getting R into your bathroom
McCaw Hall
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
1:25pm PDT
Two Cultures: From Stata to R
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
Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R
SIEPR 130
Timezone
user2016
America/Los Angeles
Filter By Date
user2016
Jun 27
-
30, 2016
Monday
, June 27
Tuesday
, June 28
Wednesday
, June 29
Thursday
, June 30
Filter By Venue
Stanford, CA, United States
Sort schedule by Venue
Barnes
Barnes & McDowell & Cranston
Bing Concert Hall
Campbell Rehearsal Hall
Econ 140
Lane
Lane & Lyons & Lodato
Lyons & Lodato
McCaw Hall
McDowell & Cranston
SIEPR 120
SIEPR 130
Sponsor Pavilion
Wallenberg Hall 124
Filter By Type
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
Recently Active Attendees
Longyi Bi
Diane Grill
Tom Hay
Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
John Painter
More →