EVPPI

Expected Value of Partial Perfect Information quantifies the value of learning about a subset of uncertain parameters.

The stable default estimator is full-sample ordinary linear regression. When the native extension is available, the Python facade delegates this numerical kernel to Rust. Custom regression models, regression subsampling, and chunked baseline evaluation remain on the Python path; absence of the optional native extension falls back to the established Python estimator.