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Per Bruun Brockhoff

DTU Compute, Danish Technical University
Professor
perbb@dtu.dk

staff.dtu.dk/perbb

Statistics, Sensometrics, Chemometrics, Pharmacometrics.

8:00am PDT

Registration check-in 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

R in machine learning competitions McCaw Hall

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

Taking R to new heights for scalability and performance SIEPR 130

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140

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

1:18pm PDT

Fast additive quantile regression in R Barnes & McDowell & Cranston

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

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

R at Microsoft McCaw Hall

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:39pm PDT

Differential equation-based models in R: An approach to simplicity and performance SIEPR 120

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

10:45am PDT

MAVIS: Meta Analysis via Shiny SIEPR 120

10:48am PDT

permuter: An R package for randomization inference Barnes & McDowell & Cranston Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

10:50am PDT

madness: multivariate automatic differentiation in R SIEPR 120

11:35am PDT

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

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

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

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Coffee Break with Poster Session McCaw Hall Profile Analysis of Multivariate Data Using the profileR Package Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

1:05pm PDT

Visualization of Uncertainty for Longitudinal Data SIEPR 130

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall