Simple #rstats install - works on ALL platforms (see readme for more). Just four steps. Please test this #numpyro version before I release to CRAN.🙏

install.packages("remotes")
remotes::install_github("flyaflya/causact")
library(causact)
install_causact_deps()

The {causact}📦 is bringing #numpyro speed to #rstats. Learning computational #Bayesian inference has never been easier.

🐣Install with ease
📊Build visual models with DAGs
🚅Automate Inference at #numpyro speed

#numpyro now available via github:
https://github.com/flyaflya/causact

I've been making progress on my #Bayesian inference in #python book draft. Latest addition is the multi-level modelling chapter. Check it out and then post your feedback here. Thanks! #numpyro

BOOK Link: https://www.persuasivepython.com/13-multilevel

🎉 Exciting news for PyMC users! 🎉

🔥 The latest PyMC update now allows you to choose from different NUTS samplers provided by external packages like #nutpie, #blackjax, and #numpyro using the new nuts_sampler kwarg in the sample() method. This means you can now take advantage of different samplers and their unique features to achieve the best performance for your model. 🚀

⚡️ And let me tell you, nutpie is wicked fast! 😱

👉 Give it a try and see how it improves your Bayesian analysis workflow! 💻