vincentarelbundock / marginaleffects
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
- Repository stars
- 656All-time #52,246
- Fork
- 71
- Last push
- updated 3 days ago
- Repository created
- since 2021
About
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inferenceSummarised by AI from the README; the original prevails
Author description: R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
Basic listing based on official public information; functionality has not been independently evaluated.
Check before adopting
- No license declared: commercial use and redistribution terms are unknown.
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
