## Adjusted Predictions and Marginal Means for Regression Models

`predict_response()`
Adjusted predictions and estimated marginal means from regression models
`as.data.frame(<ggeffects>)` `ggaverage()` `ggeffect()` `ggemmeans()` `ggpredict()`
`pool_predictions()`
Pool Predictions or Estimated Marginal Means

## Pairwise Comparisons, Contrasts and Marginal Effects

`johnson_neyman()` `spotlight_analysis()` `plot(<ggjohnson_neyman>)`
Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots
`test_predictions()` `hypothesis_test()`
(Pairwise) comparisons between predictions (marginal effects)
`pool_comparisons()`
Pool contrasts and comparisons from `test_predictions()`

`plot(<ggeffects>)` `theme_ggeffects()` `show_pals()`
Plot ggeffects-objects

## Data Grids and Meaningful Values

`collapse_by_group()`
Collapse raw data by random effect groups
`new_data()` `data_grid()`
Create a data frame from all combinations of predictor values
`pretty_range()`
Create a pretty sequence over a range of a vector
`residualize_over_grid()`
Compute partial residuals from a data grid
`values_at()` `representative_values()`
Calculate representative values of a vector

## Printing and Formatting Output

`format(<ggeffects>)` `format(<ggcomparisons>)` `print(<ggeffects>)` `print_md(<ggeffects>)` `print_html(<ggeffects>)` `print(<ggcomparisons>)` `print_html(<ggcomparisons>)` `print_md(<ggcomparisons>)`
Print and format ggeffects-objects
`reexports` `print_html` `print_md`
Objects exported from other packages

## Plot Annotation from Labelled Data

`get_title()` `get_x_title()` `get_y_title()` `get_legend_title()` `get_legend_labels()` `get_x_labels()` `get_complete_df()`
Get titles and labels from data

## Utilities

`install_latest()`
Update latest ggeffects-version from R-universe (GitHub) or CRAN
`vcov(<ggeffects>)`
Calculate variance-covariance matrix for adjusted predictions

## Sample Data Sets

`coffee_data`
Sample dataset from a course about analysis of factorial designs
`efc` `efc_test`
Sample dataset from the EUROFAMCARE project
`fish`
Sample data set
`lung2`
Sample data set