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Advanced R Topics: RStan & RMarkdown

November 6, 2015 @ 10:30 am - 5:00 pm

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Data Science Event

A half-day workshop on Bayesian Analysis with R-Stan, and report generation with RMarkdown.

Description:

Data Science Event

r-project-logoA half-day workshop on Bayesian Analysis with R-Stan, and report generation with RMarkdown.

RStan is a powerful tool to do Bayesian analyses in R. While teaching students how they can do Bayesian analysis in R, we will briefly teach RMarkdown and will compose analyses in an RMarkdown document in class. The class requires proficiency in R programming. Familiarity with Bayesian Analysis would be helpful though it’s required for this course.

UPDATE: RShiny will be covered in the morning of this workshop.

Date: Friday, November 6, 2015

Time:10:30am to 5 pm

Location: Donald Bren Hall, Room 3011

Instructor: Sepehr Akhavan, Homer Strong, Department of Statistics, UC Irvine

Pre-requisites:Introduction to R, or equivalent experience.

To find out about future one-day courses, please join our mailing list.

 

Details

Date:
November 6, 2015
Time:
10:30 am - 5:00 pm
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