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39-vincentarelbundock-marginaleffects

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Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal inference with G-computation, or need help with marginaleffects functions like predictions(), comparisons(), slopes(), hypotheses(), datagrid(), avg_predictions(), avg_comparisons(), avg_slopes(), or plot functions.

When to use

• User asks about predictions, comparisons, slopes, or marginal effects
• User needs help choosing estimands (ATE, ATT, CATE, risk difference, odds ratio)
• User asks about marginaleffects function syntax or arguments
• User wants to interpret model results or test hypotheses
• User mentions counterfactual analysis, G-computation, or causal inference
• User references Model to Meaning chapters

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