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Xi Chen

University of California, Davis
Sacramento, California Area

8:00am

Registration check-in McCaw Hall

9:00am

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

Coffee Break Campbell Rehearsal Hall

10:30am

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

Lunch Econ 140 Lunch Campbell Rehearsal Hall

1:00pm

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

Coffee Break Lane

2:30pm

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

Short Break McCaw Hall

4:15pm

What's up with the R consortium? McCaw Hall

4:40pm

Presentation of the Women in R task force McCaw Hall

5:00pm

R-Ladies Presentation 1 McCaw Hall

5:10pm

R-Ladies Presentation 2 McCaw Hall

5:20pm

Discussion McCaw Hall

8:00am

Registration check-in McCaw Hall

8:30am

Opening Session McCaw Hall

9:00am

Forty years of S McCaw Hall

10:00am

Coffee Break with Poster Exhibits McCaw Hall

10:30am

R in machine learning competitions McCaw Hall Using Spark with Shiny and R Markdown SIEPR 130

10:48am

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston

11:24am

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

12:00pm

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm

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

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm

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

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

2:12pm

Wrap your model in an R package! SIEPR 120

2:30pm

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

Literate Programming McCaw Hall

4:30pm

Short Break McCaw Hall

4:45pm

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:03pm

Deep Learning for R with MXNet SIEPR 130

5:21pm

broom: Converting statistical models to tidy data frames McCaw Hall Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm

Colour schemes in data visualisation: Bias and Precision McCaw Hall

6:30pm

Welcome Reception Bing Concert Hall

9:00am

Towards a grammar of interactive graphics McCaw Hall

10:00am

Coffee Break with Poster Exhibits McCaw Hall

10:30am

Importing modern data into R SIEPR 130

10:35am

Bespoke eStyle Statistical Training for Africa: challenges and opportunities of developing an online course SIEPR 120

10:40am

Tie-ins between R and Openstreetmap data SIEPR 120

10:45am

MAVIS: Meta Analysis via Shiny SIEPR 120

10:48am

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

madness: multivariate automatic differentiation in R SIEPR 120

10:55am

rempreq: An R package for Estimating the Employment Impact of U.S. Domestic Industry Production and Imports SIEPR 120

11:00am

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:05am

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

11:06am

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130

11:10am

Scaling R for Business Analytics SIEPR 120

11:15am

Building a High Availability REST API Engine for R SIEPR 120

11:20am

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:24am

Network Diffusion of Innovations in R: Introducing netdiffuseR McCaw Hall

11:25am

FirebrowseR an 'API' Client for Broads 'Firehose' Pipeline SIEPR 120

11:30am

Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers SIEPR 120

11:35am

R's Role in Healthcare Data: Exploration, Visualization and Presentation SIEPR 120

11:40am

Chunked, dplyr for large text files SIEPR 120

11:42am

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

11:45am

Automated risk calculation in clinical practice and research - the riskscorer package SIEPR 120

12:00pm

Lunch with Poster Exhibits McCaw Hall

1:00pm

R at Google Lane & Lyons & Lodato

1:18pm

Visualizing multifactorial and multi-attribute effect sizes in linear mixed models with a view towards sensometrics Econ 140

1:20pm

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

1:30pm

Statistical Computing with R Lane & Lyons & Lodato

1:36pm

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

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:54pm

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

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:05pm

Making the R community more open Lane & Lyons & Lodato

2:12pm

brglm: Reduced-bias inference in generalized linear models Econ 140

2:30pm

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

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am

Statistical Thinking in a Data Science Course McCaw Hall

10:30am

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

Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST) Econ 140

10:40am

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

10:45am

Clustering of Hierarchically-Linked Multivariate Datasets Econ 140

10:48am

Dynamic Data in the Statistics Classroom Barnes & McDowell & Cranston

10:50am

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

10:55am

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

11:05am

Using R at a rapidly scaling healthcare technology startup Econ 140

11:06am

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:08am

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:10am

Event Detection with Social Media Data Econ 140

11:15am

Convenient educational & psychological test reporting with the QME package & a Shiny UI Econ 140

11:24am

DataSHIELD: Taking the analysis to the data McCaw Hall

11:25am

Outlier Detection Methods Econ 140

11:30am

gtfsr: A package to make transit system analysis easy Econ 140

11:35am

Handling Huge Hierachical Data in R Econ 140

11:40am

rfmt - A new formatter for R source code Econ 140

11:42am

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

12:00pm

Lunch w/ Poster Exhibits McCaw Hall

1:00pm

Catching up with Rstudio Lane & Lyons & Lodato

1:05pm

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:15pm

Getting R into your bathroom McCaw Hall

1:20pm

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:25pm

Weather Alerts Data with R SIEPR 130

1:30pm

Thinking about Energy Markets with interactivity SIEPR 130

1:35pm

Interact with Python from within R McCaw Hall Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

1:40pm

Interactive dashboards for visual quality control of air quality data SIEPR 130 Let's meet on satRday! McCaw Hall

1:45pm

Optimizing Food Inspections with Analytics McCaw Hall

2:00pm

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

3:00pm

Closing Remarks McCaw Hall