Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

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Documentation for package ‘ggeffects’ version 1.3.3

• DESCRIPTION file.
• Package NEWS.

Help Pages

as.data.frame.ggeffects	Marginal effects, adjusted predictions and estimated marginal means from regression models
collapse_by_group	Collapse raw data by random effect groups
data_grid	Create a data frame from all combinations of predictor values
efc	Sample dataset from the EUROFAMCARE project
efc_test	Sample dataset from the EUROFAMCARE project
fish	Sample data set
get_complete_df	Get titles and labels from data
get_legend_labels	Get titles and labels from data
get_legend_title	Get titles and labels from data
get_title	Get titles and labels from data
get_x_labels	Get titles and labels from data
get_x_title	Get titles and labels from data
get_y_title	Get titles and labels from data
ggaverage	Marginal effects, adjusted predictions and estimated marginal means from regression models
ggeffect	Marginal effects, adjusted predictions and estimated marginal means from regression models
ggemmeans	Marginal effects, adjusted predictions and estimated marginal means from regression models
ggpredict	Marginal effects, adjusted predictions and estimated marginal means from regression models
hypothesis_test	(Pairwise) comparisons between predictions
hypothesis_test.default	(Pairwise) comparisons between predictions
hypothesis_test.ggeffects	(Pairwise) comparisons between predictions
install_latest	Update latest ggeffects-version from R-universe (GitHub) or CRAN
johnson_neyman	Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots
lung2	Sample data set
new_data	Create a data frame from all combinations of predictor values
plot	Plot ggeffects-objects
plot.ggeffects	Plot ggeffects-objects
plot.ggjohnson_neyman	Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots
pool_comparisons	Pool contrasts and comparisons from 'hypothesis_test()'
pool_predictions	Pool Predictions or Estimated Marginal Means
pretty_range	Create a pretty sequence over a range of a vector
representative_values	Calculate representative values of a vector
residualize_over_grid	Compute partial residuals from a data grid
residualize_over_grid.data.frame	Compute partial residuals from a data grid
residualize_over_grid.ggeffects	Compute partial residuals from a data grid
show_pals	Plot ggeffects-objects
spotlight_analysis	Spotlight-analysis: Create Johnson-Neyman confidence intervals and plots
test_predictions	(Pairwise) comparisons between predictions
theme_ggeffects	Plot ggeffects-objects
values_at	Calculate representative values of a vector
vcov	Calculate variance-covariance matrix for marginal effects
vcov.ggeffects	Calculate variance-covariance matrix for marginal effects