Post-estimation projection and boundary analysis. Projects the effect of a chosen independent variable on the dependent variable — holding all others at their medians — and automatically produces publication-quality graphs for cross-sectional, time-series, and panel data. Supports bar charts, spaghetti plots, heat maps, sensitivity rankings, and 25-period forward projections.

Comprehensive marginal effects for any regression. Computes 26 re-expressions of every slope coefficient across seven interpretation families — from standardized slopes and elasticities to IQR effects and Pratt’s R² decomposition. The companion coefconv_plot produces three simultaneous named graphs: a standardized-slope forest plot, a Pratt importance bar chart, and per-variable discrete effects ladders.

Entity-specific marginal effects from panel quantile regression. Estimates the model across a user-defined quantile grid, identifies each entity’s position in the distribution of the dependent variable, and presents results as heat-mapped bar charts or matrix plots with 95% confidence intervals. Supports both xtqreg and qregpd estimators, balanced and unbalanced panels, and four effect types.