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SC

Sule Celik

Level 3 Communications
Senior Quantitative Analyst

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 1) Barnes

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution (Part 2) Barnes

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Regression Modeling Strategies and the rms package (Part 1) Lyons & Lodato

2:30pm PDT

Missing Value Imputation with R (Part 2) Barnes Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato

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

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 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

Automating our work away: One consulting firm's experience with KnitR Econ 140 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 jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Group and sparse group partial least squares approaches applied in a genomics context Barnes & McDowell & Cranston

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

1:54pm PDT

A first-year undergraduate data science course SIEPR 130 Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston

2:12pm PDT

Detection of Differential Item Functioning with difNLR function Barnes & McDowell & Cranston

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

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

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

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

6:30pm PDT

Welcome Reception Bing Concert 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

10:55am PDT

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

Exploring the R / SQL boundary SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB) Econ 140

1:18pm PDT

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

1:36pm PDT

Simulation and power analysis of generalized linear mixed models Econ 140

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140

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

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 swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston

10:48am PDT

Authoring Books with R Markdown McCaw Hall Practical tools for exploratory web graphics SIEPR 130

11:24am PDT

ggduo: Pairs plot for two group data SIEPR 130

11:25am PDT

Outlier Detection Methods Econ 140

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

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

1:35pm PDT

Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130 Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall