# Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests

## Documentation for package ‘marginaleffects’ version 0.32.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

autodiff | EXPERIMENTAL - Enable Automatic Differentiation with JAX
avg_comparisons | Comparisons Between Predictions Made With Different Regressor Values
avg_predictions | Predictions
avg_slopes | Slopes (aka Partial derivatives, Marginal Effects, or Trends)
comparisons | Comparisons Between Predictions Made With Different Regressor Values
components.marginaleffects | Extract components from marginaleffects objects
datagrid | Data grids
get_dataset | Download and Read Datasets from 'marginaleffects' or Rdatasets
get_draws | Extract Posterior Draws or Bootstrap Resamples from 'marginaleffects' Objects
hypotheses | (Non-)Linear Tests for Null Hypotheses, Joint Hypotheses, Equivalence, Non Superiority, and Non Inferiority
inferences | (EXPERIMENTAL) Bootstrap, Conformal, and Simulation-Based Inference
plot_comparisons | Plot Conditional or Marginal Comparisons
plot_predictions | Plot Conditional or Marginal Predictions
plot_slopes | Plot Conditional or Marginal Slopes
predictions | Predictions
print.marginaleffects | Print 'marginaleffects' objects
prune.marginaleffects | Prune marginaleffects objects to reduce memory usage
refit | Refit a marginaleffects object with new data
refit.comparisons | Refit a marginaleffects object with new data
refit.hypotheses | Refit a marginaleffects object with new data
refit.marginaleffects | Refit a marginaleffects object with new data
refit.predictions | Refit a marginaleffects object with new data
refit.slopes | Refit a marginaleffects object with new data
slopes | Slopes (aka Partial derivatives, Marginal Effects, or Trends)