_pkgdown.yml

authors:
  Daniel Lüdecke:
    href: https://github.com/strengejacke
  Dominique Makowski:
    href: https://dominiquemakowski.github.io/
  Mattan S. Ben-Shachar:
    href: https://github.com/mattansb
  Indrajeet Patil:
    href: https://sites.google.com/site/indrajeetspatilmorality/

template:
  params:
    bootswatch: flatly

reference:
- title: "Comprehensive Model Parameters"
  contents:
  - compare_parameters
  - model_parameters
  - model_parameters.aov
  - model_parameters.befa
  - model_parameters.default
  - model_parameters.zcpglm
  - model_parameters.gam
  - model_parameters.mlm
  - model_parameters.merMod
  - model_parameters.lavaan
  - model_parameters.kmeans
  - model_parameters.Mclust
  - model_parameters.mira
  - model_parameters.PCA
  - model_parameters.principal
  - model_parameters.stanreg
  - model_parameters.BFBayesFactor
  - model_parameters.rma
  - model_parameters.htest
  - model_parameters.glht
  - model_parameters.averaging
  - model_parameters.t1way
  - pool_parameters
  - random_parameters
  - print.parameters_model

- title: "Standard Errors, Confidence Intervals, Degrees of Freesom and p-values"
  contents:
  - standard_error
  - ci.merMod
  - p_value
  - p_value.lmerMod
  - p_value.BFBayesFactor
  - p_value.zeroinfl
  - p_value.poissonmfx
  - p_value.DirichletRegModel
  - degrees_of_freedom
  - n_parameters
- subtitle: "Robust Estimation Methods"
  contents:
  - standard_error_robust
- subtitle: "Approximation Methods"
  contents:
  - p_value_wald
  - p_value_kenward
  - p_value_satterthwaite
  - p_value_betwithin
  - p_value_ml1

- title: "Effect Existence and Significance"
  contents:
  - equivalence_test
  - equivalence_test.lm

- title: "Parameter Sampling"
  contents:
  - bootstrap_model
  - bootstrap_parameters
  - simulate_model
  - simulate_parameters

- title: "Variable Preparation"
  contents:
  - center
  - demean
  - rescale_weights
  - data_partition
  - convert_data_to_numeric

- title: "Feature Reduction"
  contents:
  - reduce_parameters
  - select_parameters

- title: "Data Reduction"
- subtitle: "Cluster Analysis"
  contents:
  - check_clusterstructure
  - cluster_analysis
  - cluster_discrimination
  - n_clusters
- subtitle: "Factors and Principal Components"
  contents:
  - check_factorstructure
  - check_kmo
  - check_sphericity
  - convert_efa_to_cfa
  - factor_analysis
  - get_scores
  - n_factors
  - principal_components
  - reduce_data
  - reshape_loadings

- title: "Data Properties"
  contents:
  - describe_distribution
  - check_multimodal
  - skewness
  - smoothness

- title: "Table and Value Formatting"
  contents:
  - display.parameters_model
  - format_order
  - format_parameters
  - format_p_adjust
  - parameters_type
  - print_md

- title: "Example Data Sets"
  contents:
  - qol_cancer
  - fish

navbar:
  type: default
  left:
  - icon: fa-home fa-lg
    href: index.html
  - text: News
    href: news/index.html
  - text: Features
    href: reference/index.html
  - text: Parameters Description
    menu:
      - text: Summary of Model Parameters
        href: articles/model_parameters.html
      - text: Standardized Model Parameters
        href: articles/model_parameters_standardized.html
      - text: Robust Estimation of Standard Errors
        href: articles/model_parameters_robust.html
      - text: Model Parameters and Missing Data
        href: articles/model_parameters_mice.html
      - text: Panel Data Analysis
        href: articles/demean.html
  - text: Formatting Model Parameters
    href: articles/model_parameters_formatting.html
  - text: Dimension Reduction
    menu:
      - text: 'Feature reduction (PCA, cMDS, ICA...)'
        href: articles/parameters_reduction.html
      - text: 'Structural models (EFA, CFA, SEM...)'
        href: articles/efa_cfa.html
      - text: Parameters Selection
        href: articles/parameters_selection.html