Package and Textbook for Teaching Fast, Easy, and Visual Bayesian Inference from Rstats

Hi All:

Just want to let everyone know about a new integration to numpyro from R using the causact package. The package does not let you write numpyro code directly, rather let's users create a programmatic model specification using a DAG. Then, given the DAG, causact converts it to numpyro code and returns the results back in rstats.

If interested, check out the package here:

Also, I wrote the causact package and an accompanying textbook "A Business Analyst's Introduction to Business Analytics (2nd Edition): Coding in R For Fast, Easy, and Visual Bayesian Inference" to gently introduce Bayesian thinking and computational Bayesian inference to business school students.

See the book here:

I welcome feedback and encouragement. Thanks!

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