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_pkgdown.yml
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url: https://strengejacke.github.io/ggeffects/
template:
bootstrap: 5
bslib:
base_font: {google: "Roboto"}
heading_font: {google: "Roboto Slab"}
code_font: {google: "JetBrains Mono"}
authors:
Daniel Lüdecke:
href: https://github.com/strengejacke
development:
#mode: auto
version_label: default
version_tooltip: "Version"
reference:
- title: "Adjusted Predictions and Marginal Means for Regression Models"
contents:
- predict_response
- ggpredict
- pool_predictions
- title: "Pairwise Comparisons, Contrasts and Marginal Effects"
contents:
- johnson_neyman
- test_predictions
- pool_comparisons
- title: "Plotting Adjusted Predictions"
contents:
- plot
- title: "Data Grids and Meaningful Values"
contents:
- collapse_by_group
- new_data
- pretty_range
- residualize_over_grid
- values_at
- title: "Printing and Formatting Output"
contents:
- print
- print_html
- title: "Plot Annotation from Labelled Data"
contents:
- get_title
- title: "Utilities"
contents:
- get_predictions
- install_latest
- vcov
- title: "Sample Data Sets"
contents:
- coffee_data
- efc
- fish
- lung2
navbar:
type: default
left:
- icon: fa-home fa-lg
href: index.html
- text: News
href: news/index.html
- text: Reference
href: reference/index.html
- text: Introductions
menu:
- text: 'Adjusted predictions of regression models'
href: articles/ggeffects.html
- text: 'Adjusted predictions at specific values'
href: articles/introduction_effectsatvalues.html
- text: 'Adjusted predictions for mixed models'
href: articles/introduction_randomeffects.html
- text: '(Cluster) Robust standard errors'
href: articles/practical_robustestimation.html
- text: Plotting and Printing
menu:
- text: 'Plotting adjusted predictions'
href: articles/introduction_plotmethod.html
- text: 'Customize plot appearance'
href: articles/introduction_plotcustomize.html
- text: 'Customize table appearance'
href: articles/introduction_print.html
- text: Case Studies
menu:
- text: 'Simple workflow using logistic regression'
href: articles/practical_glm_workflow.html
- text: 'Logistic mixed effects Model with interaction term'
href: articles/practical_logisticmixedmodel.html
- text: 'Intersectionality analysis using the MAIHDA framework'
href: articles/practical_intersectionality.html
- text: 'Comparison of ggeffects and marginaleffects'
href: articles/practical_marginaleffects_pkg.html
- text: Technical Details
menu:
- text: 'Adding own class-methods to ggeffects'
href: articles/technical_get_predictions.html
- text: 'Difference between marginalization methods'
href: articles/technical_differencepredictemmeans.html
- text: 'Different Output between Stata and ggeffects'
href: articles/technical_stata.html