Bayesian analysis in R via stan + a bonus talk

MAIN TALK (Workshop): “Bayesian Analysis in R via Stan”

Description

Bayesian analysis in R has never been so easy. After an overview on Bayesian statistics, Alice will introduce the Stan's probabilistic programming language and how to run .stan files from R via rstan. She will also explore the brms and rstanarm packages, giving pros and cons and when to use one vs. the other, examples included. By the end of the workshop you will master concepts like prior distributions and you will be able to easily implement your Bayesian regressions.

In this workshop you are encouraged to code along with Alice. Please either come with RStudio installed on your laptop or have access to it via your browser (through Jupyter Notebook for example). Required libraries: tidyverse, rstan, rstantools, brms, rtanarm, shiny.
All levels are welcome!

Speaker bio

Alice has recently earned her PhD in Demography from the University of Geneva in Switzerland. Her areas of research are population modeling and forecasts, with a special focus on migration. Her first area of expertise is gelato, but she also loves to play around with Bayesian Statistics :)

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OPENING TALK: “Running Python in R with reticulate”

Description

R & Python are two of the most popular languages used in analytics. Each have their unique advantages, and it's now easier than ever before to use them both within the same environment.

In this talk, we'll learn how to use `reticulate`, a tool for using Python from within R. We'll do this by walking through a common data science use case so you leave equipped to begin using this within your own workflows.

Speaker bio

Matthew is on the data science team at Instacart, a grocery delivery company headquartered in San Francisco. A brand marketer turned data scientist, he's always on the hunt for ways to make analytics more approachable to both himself and the stakeholders that he supports. In his spare time, he works on his Rocket League skills and is currently searching for something to fill the void left by Game of Thrones.

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AGENDA:
6pm - 6:20pm: Networking and help with installation (download RStudio, packages, etc)
6:20pm - 6:35pm: Opening Talk: Running Python in R with reticulate
6:35pm - 7:45pm: Workshop: Bayesian Analysis in R via Stan
7:45pm - 8pm: Networking

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Important to know

CODE OF CONDUCT
Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.
https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

The mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community.

We are emphatically queer and trans-friendly.

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A huge thank you to Domino Data Lab (https://www.dominodatalab.com/) for hosting us!