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skillboardManual 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.
marginaleffects Primary source of information: https://marginaleffects.com Free book, case studies, and vignettes are available there. Package manual for R and Python, plus a guide to the companion book. Book : Model to Meaning: How to Interpret Statistical Models in R and Python Author: Vincent Arel Bundock (2026) Publisher: CRC Press Free online: https://marginaleffects.com (primary source with many case studies and vignettes) Print: https://routledge.com/9781032908724 Core framework: Five…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/39-vincentarelbundock-marginaleffects · pinned to the source commit
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
cd Auto-Empirical-Research-Skills
git checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills/39-vincentarelbundock-marginaleffects"
cp -r "skills/39-vincentarelbundock-marginaleffects" ".claude/skills/39-vincentarelbundock-marginaleffects"Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
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