influence_plot

Plot only the most influential score contributions.

Panels

1. Ranked bar chart of the top k observations by |psi_i|.

2. Scatter of those top k observations versus clipped propensity m_i.

This replacement intentionally avoids plotting every observation. Use run_score_diagnostics(... )["summary"] for global tail metrics and this plot for a lightweight drill-down into the largest contributors.

Notes

The figure ranks observations by $|\hat\psi_i|$, where $\hat\psi_i$ is the fitted score contribution. Large values indicate observations with unusually strong leverage on the final estimate. If many top points sit near propensity clipping boundaries, that is usually a sign to inspect overlap and nuisance fit quality together.

[‘plot_influence_instability’]