ucla-cdl/prior-weaver

PriorWeaver is a web application for eliciting Bayesian priors by turning domain assumptions into an editable representative dataset, fitted prior distributions, and prior-predictive visual checks. The principal workflow moves through model setup, variable and relationship specification, and reviewing or adjusting results; the README also describes flexible iteration across these stages. The frontend components and context relationships are supported by excerpts and the SOURCE INDEX. Backend internals beyond the Bambi parser were not sampled, so backend capability links are limited to explicit API calls or README-described behavior.