Bayes Rules! An Introduction to Bayesian Modeling with R with Alicia Johnson

This is a recording of a virtual workshop hosted by R-Ladies Philly on October 18th, 2021.
Workshop description:
Bayesian statistics?! Once an obscure term, this alternative to the more ingrained frequentist philosophy is having a moment (a long one). In this workshop, we’ll explore some core principles of the Bayesian philosophy, learn to think like Bayesians, and get our hands on some Bayesian models. The workshop materials will rely on the following R packages: tidyverse, bayesrules, bayesplot, rstan, rstanarm. The rstan package in particular would be great to install in advance and works best with R version 4.0.0 or later.
About the speaker:
Alicia Johnson is an associate professor of statistics at Macalester College in St Paul, Minnesota. Her research interests span Bayesian statistics, computational statistics, and statistics / data science education. Outside of statistics, she enjoys building things, snow (during the appropriate months), and vitamin D among other things.
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You can learn more about this workshop at the following links:
You can get all the code, slides, and Rstudio cloud project link from GitHub: github.com/ajohns24/r-ladies-philly
The book: https://www.bayesrulesbook.com