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

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Documentation for package ‘marginaleffects’ version 0.31.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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)