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Kingsley Wong

Data Management and Statistical Analysis Australia
CxO
Perth, Australia, Earth, Milky Way

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:15am PDT

Coffee Break Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

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

2:15pm PDT

Coffee Break Barnes

2:30pm PDT

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

8:00am 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

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

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Integrated R labs for high school students SIEPR 130

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

Teaching R to 200 people in a week SIEPR 130

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

'AF' a new package for estimating the attributable fraction McCaw Hall

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

Rho: High Performance R McCaw Hall

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

6:30pm PDT

Welcome Reception Bing Concert Hall

8:00am PDT

Registration check-in McCaw 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

10:48am PDT

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R McCaw Hall

11:06am PDT

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:24am PDT

Network Diffusion of Innovations in R: Introducing netdiffuseR McCaw Hall

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

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

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

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

11:26am PDT

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

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall