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View All on GitHub Stan tutorials about 2 months ago
AI Summary: Develop and deploy Stan-based Bayesian modeling tutorials (brms and cmdstanr) for causal inference, incorporating them into a Docker container and deploying to Kubernetes. The tutorials should cover Bayesian SEM, GCM, and growth modeling using public datasets, and integrate with tools like targets, vetiver, and Quarto for reproducible workflows and deployment. A basic dashboard is also desired.
Complexity:
5/5
documentation good first issue help wanted
Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.
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