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FS

Florian Schwendinger

WU Vienna University of Economics and Business

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:30pm PDT

Introduction to SparkR (Part 2) Econ 140

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston

10:48am PDT

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

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

1:00pm PDT

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

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

CVXR: An R Package for Modeling Convex Optimization Problems McCaw Hall

1:54pm PDT

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

2:12pm PDT

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

2:30pm PDT

A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion Community detection in multiplex networks : An application to the C. elegans neural network Sponsor Pavilion DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion High-performance R with FastR Sponsor Pavilion Using R with Taiwan Government Open Data to create a tool for monitor the city's age-friendliness Sponsor Pavilion

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:39pm PDT

Rho: High Performance R McCaw Hall

5:57pm PDT

Rectools: An Advanced Recommender System SIEPR 130

10:48am PDT

ETL for medium data SIEPR 130

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

1:00pm PDT

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

1:36pm PDT

Extending CRAN packages with binaries: x13binary SIEPR 130

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140 Checkmate: Fast and Versatile Argument Checks SIEPR 130

2:12pm PDT

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

10:30am PDT

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:50am PDT

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

11:08am PDT

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