
Package index
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predict_response() - Adjusted predictions and estimated marginal means from regression models
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as.data.frame(<ggeffects>)ggaverage()ggeffect()ggemmeans()ggpredict() - Adjusted predictions from regression models
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pool_predictions() - Pool Predictions or Estimated Marginal Means
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test_predictions()hypothesis_test() - (Pairwise) comparisons between predictions (marginal effects)
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pool_comparisons() - Pool contrasts and comparisons from
test_predictions()
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plot(<ggeffects>)theme_ggeffects()ggeffects_palette()show_palettes() - Plot ggeffects-objects
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collapse_by_group() - Collapse raw data by random effect groups
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new_data()data_grid() - Create a data frame from all combinations of predictor values
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pretty_range() - Create a pretty sequence over a range of a vector
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residualize_over_grid() - Compute partial residuals from a data grid
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values_at()representative_values() - Calculate representative values of a vector
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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
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reexportsprint_htmlprint_md - Objects exported from other packages
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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
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get_predictions() - S3-class definition for the ggeffects package
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install_latest() - Update latest ggeffects-version from R-universe (GitHub) or CRAN
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vcov(<ggeffects>) - Calculate variance-covariance matrix for adjusted predictions
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coffee_data - Sample dataset from a course about analysis of factorial designs
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fish - Sample data set
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lung2 - Sample data set