This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

Jonathan Adams

ARMtech Insurance Services
Systems & Actuarial Analyst
Lubbock, Tx

https://github.com/PieceMaker/

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

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

10:30am PDT

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

1:00pm PDT

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

2:30pm PDT

Regression Modeling Strategies and the rms package (Part 2) Lyons & Lodato

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

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

10:48am PDT

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 R: The last line of defense against bad debt Econ 140

11:24am PDT

Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston United Nations World Population Projections with R McCaw Hall

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform SIEPR 120

1:18pm PDT

Experiences on the Use of R in the Water Sector SIEPR 120

1:36pm PDT

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

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120 Statistics and R in Forensic Genetics McCaw Hall

2:12pm PDT

Wrap your model in an R package! SIEPR 120

4:45pm PDT

Simulation of Synthetic Complex Data: The R-Package simPop SIEPR 120

5:03pm PDT

New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato When will this machine fail? SIEPR 120

5:21pm PDT

Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification SIEPR 130

5:39pm PDT

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

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

10:30am PDT

Profvis: Profiling tools for faster R code Econ 140

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:24am PDT

Grid Computing in R with Easy Scalability Econ 140

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:00pm PDT

A spatial policy tool for cycling potential in England SIEPR 120

1:18pm PDT

SpatialProbit for fast and accurate spatial probit estimations SIEPR 120

1:54pm PDT

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

2:12pm PDT

High performance climate downscaling in R SIEPR 120

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

11:25am PDT

Outlier Detection Methods Econ 140

11:42am PDT

Most Likely Transformations McCaw Hall