Expand description
Effect estimation from posterior samples (spec §5.2).
This module computes effect estimates from the 9D posterior over quantile differences. The primary metric is max_k |δ_k| - the maximum absolute effect across all deciles.
§Effect Reporting (spec §5.2)
max_effect_ns: Posterior mean of max_k |δ_k|credible_interval_ns: 95% CI for max|δ|top_quantiles: Top 2-3 quantiles by exceedance probability
Functions§
- compute_
effect_ estimate - Compute effect estimate from delta draws (spec §5.2).
- compute_
effect_ estimate_ analytical - Compute effect estimate from posterior mean and covariance (analytical).
- compute_
top_ quantiles - Compute top 2-3 quantiles by exceedance probability.
- regularize_
covariance - Apply variance floor regularization for numerical stability (spec §3.3.2).