modelbased/pkgdown/_pkgdown.yml at fea2ba27319d09a9f3dba880352daa261a1460cb · easystats/modelbased · GitHub

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url: https://easystats.github.io/modelbased/

template:
  bootstrap: 5
  package: easystatstemplate

reference:
  - title: "Model-based Estimations"
    contents:
      - starts_with("estimate_")
  - title: "Data grids and Visualisation"
    contents:
      - starts_with("visualisation_")
  - title: "Missing Data"
    contents:
      - starts_with("pool_")
  - title: "Miscellaenous"
    contents:
      - print.estimate_contrasts
      - describe_nonlinear
      - get_emmeans
      - get_marginalmeans
      - find_inversions
      - zero_crossings
      - smoothing
  - title: "Global options"
    contents:
      - modelbased-options
  - title: "Sample datasets"
    contents:
      - coffee_data
      - puppy_love
      - efc
      - fish

# Keep articles organized
navbar:
  left:
    - icon: fa fa-file-code
      text: Reference
      href: reference/index.html
    - text: "Introductions"
      menu:
        - text: "Overview of Vignettes"
          href: articles/overview_of_vignettes.html
        - text: -------
        - text: "Basics"
        - text: "Data grids"
          href: articles/visualisation_matrix.html
        - text: "Marginal means"
          href: articles/estimate_means.html
        - text: "Contrast analysis"
          href: articles/estimate_contrasts.html
        - text: "Marginal effects and derivatives"
          href: articles/estimate_slopes.html
        - text: "Mixed effects models"
          href: articles/mixed_models.html
        - text: -------
        - text: "Interpretation"
        - text: "Use a model to make predictions"
          href: articles/estimate_response.html
        - text: "Interpret models using Effect Derivatives"
          href: articles/derivatives.html
        - text: "Estimate and re-use Random Effects"
          href: articles/estimate_grouplevel.html
        - text: -------
        - text: "Visualization"
        - text: "Plotting estimated marginal means"
          href: articles/plotting.html
        - text: "Visualize effects and interactions"
          href: articles/estimate_relation.html
        - text: "The modelisation approach"
          href: articles/modelisation_approach.html
    - text: "Case Studies"
      menu:
        - text: "Workflows"
        - text: "Understanding your models"
          href: articles/workflow_modelbased.html
        - text: "Causal inference for observational data"
          href: articles/practical_causality.html
        - text: "Intersectionality analysis using the MAIHDA framework"
          href: articles/practical_intersectionality.html
        - text: "Interrupted Time Series Analysis"
          href: articles/practical_its.html
        - text: "An Introduction to Growth Mixture Models"
          href: articles/practical_growthmixture.html
        - text: -------
        - text: "Contrasts"
        - text: "Contrasts and comparisons"
          href: articles/introduction_comparisons_1.html
        - text: "User Defined Contrasts and Joint Tests"
          href: articles/introduction_comparisons_2.html
        - text: "Slopes, floodlight and spotlight analysis (Johnson-Neyman intervals)"
          href: articles/introduction_comparisons_3.html
        - text: "Contrasts and comparisons for generalized linear models"
          href: articles/introduction_comparisons_4.html
        - text: "Contrasts and comparisons for zero-inflation models"
          href: articles/introduction_comparisons_5.html
        - text: -------
        - text: "Comparison to other R packages"
        - text: "Packages related to predictions, marginal means and effects"
          href: articles/practical_comparison.html
    - icon: fa fa-newspaper
      text: News
      href: news/index.html