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Pete Mohanty

Stanford University

https://sites.google.com/site/petemohanty/

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:24am PDT

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

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:36pm PDT

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

1:54pm PDT

Zero-overhead integration of R, JS, Ruby and C/C++ Lane & Lyons & Lodato

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion

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

5:57pm PDT

Visual Pruner: A Shiny app for cohort selection in observational studies Lane & Lyons & Lodato

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:48am PDT

permuter: An R package for randomization inference Barnes & McDowell & Cranston

11:05am PDT

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

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:30pm PDT

Coffee Break with Poster Session McCaw Hall hurdlr: An R package for zero-inflated and over-dispersed count data Sponsor Pavilion