Man pages for ggeffects
Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
| coffee_data | Sample dataset from a course about analysis of factorial... |
| collapse_by_group | Collapse raw data by random effect groups |
| efc | Sample dataset from the EUROFAMCARE project |
| fish | Sample data set |
| get_title | Get titles and labels from data |
| ggpredict | Adjusted predictions from regression models |
| install_latest | Update latest ggeffects-version from R-universe (GitHub) or... |
| johnson_neyman | Spotlight-analysis: Create Johnson-Neyman confidence... |
| lung2 | Sample data set |
| new_data | Create a data frame from all combinations of predictor values |
| plot | Plot ggeffects-objects |
| pool_comparisons | Pool contrasts and comparisons from 'test_predictions()' |
| pool_predictions | Pool Predictions or Estimated Marginal Means |
| predict_response | Adjusted predictions and estimated marginal means from... |
| pretty_range | Create a pretty sequence over a range of a vector |
| Print and format ggeffects-objects | |
| reexports | Objects exported from other packages |
| residualize_over_grid | Compute partial residuals from a data grid |
| test_predictions | (Pairwise) comparisons between predictions (marginal effects) |
| values_at | Calculate representative values of a vector |
| vcov | Calculate variance-covariance matrix for adjusted predictions |
