comparisons |
Contrasts Between Adjusted Predictions |
datagrid |
Generate a data grid of "typical," "counterfactual," or user-specified values for use in the 'newdata' argument of the 'marginaleffects' or 'predictions' functions. |
deltamethod |
Estimate and Standard Error of a Non-Linear Function of Estimated Model Parameters |
glance.marginaleffects |
Glance at key characteristics of an object |
marginaleffects |
Marginal Effects (Slopes) |
marginalmeans |
Marginal Means |
plot.marginaleffects |
Point-range plot of average marginal effects |
plot_cap |
Plot Conditional Adjusted Predictions |
plot_cco |
Plot Conditional Contrasts |
plot_cme |
Plot Conditional Marginal Effects |
posteriordraws |
Extract posterior draws from a 'predictions', 'comparisons', or 'marginaleffects' object derived from Bayesian models. |
predictions |
Adjusted Predictions Outcome predicted by a fitted model on a specified scale for a given combination of values of the predictor variables, such as their observed values, their means, or factor levels (a.k.a. "reference grid"). The 'tidy()' and 'summary()' functions can be used to aggregate the output of 'predictions()'. To learn more, read the predictions vignette, visit the package website, or scroll down this page for a full list of vignettes: • <URL: https://vincentarelbundock.github.io/marginaleffects/articles/predictions.html> • <URL: https://vincentarelbundock.github.io/marginaleffects/> |
summary.comparisons |
Summarize a 'comparisons' object |
summary.marginaleffects |
Summarize a 'marginaleffects' object |
summary.marginalmeans |
Summarize a 'marginalmeans' object |
summary.predictions |
Summarize a 'predictions' object |
tidy.comparisons |
Tidy a 'comparisons' object |
tidy.deltamethod |
Tidy a 'deltamethod' object |
tidy.marginaleffects |
Tidy a 'marginaleffects' object |
tidy.marginalmeans |
Tidy a 'marginalmeans' object |
tidy.predictions |
Tidy a 'predictions' object |