polars-statistics/mkdocs.yml at main · DataZooDE/polars-statistics · GitHub

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site_name: polars-statistics
site_url: https://datazoode.github.io/polars-statistics/
site_description: High-performance statistical testing and regression for Polars DataFrames, powered by Rust.
repo_url: https://github.com/DataZooDE/polars-statistics
repo_name: DataZooDE/polars-statistics

theme:
  name: material
  palette:
    - scheme: default
      primary: indigo
      accent: indigo
      toggle:
        icon: material/brightness-7
        name: Switch to dark mode
    - scheme: slate
      primary: indigo
      accent: indigo
      toggle:
        icon: material/brightness-4
        name: Switch to light mode
  features:
    - content.code.copy
    - navigation.tabs
    - navigation.sections
    - navigation.expand
    - navigation.top
    - search.highlight
    - search.suggest
    - toc.follow

markdown_extensions:
  - admonition
  - pymdownx.details
  - pymdownx.superfences
  - pymdownx.highlight:
      anchor_linenums: true
  - pymdownx.inlinehilite
  - pymdownx.tabbed:
      alternate_style: true
  - toc:
      permalink: true
  - attr_list
  - md_in_html

nav:
  - Home: index.md
  - Getting Started: getting-started.md
  - Examples:
      - Hypothesis Testing: examples/hypothesis-testing.md
      - Regression Workflow: examples/regression-workflow.md
      - Regularized & Specialized Models: examples/regularized-regression.md
      - Generalized Linear Models: examples/glm-models.md
      - Group-wise Analysis: examples/group-analysis.md
      - A/B Testing: examples/ab-testing.md
      - Equivalence Testing (TOST): examples/equivalence-testing.md
      - Categorical Data Analysis: examples/categorical-analysis.md
      - Forecast Model Comparison: examples/forecast-comparison.md
      - Correlation & Reliability: examples/advanced-correlation.md
      - Special Models: examples/special-models.md
  - API Conventions: api/conventions.md
  - Statistical Tests:
      - Parametric Tests: api/tests/parametric.md
      - Non-Parametric Tests: api/tests/nonparametric.md
      - Distributional Tests: api/tests/distributional.md
      - Correlation Tests: api/tests/correlation.md
      - Forecast Comparison: api/tests/forecast.md
      - Categorical Tests: api/tests/categorical.md
      - TOST Equivalence: api/tests/tost.md
  - Regression:
      - Linear Models: api/regression/linear.md
      - GLM: api/regression/glm.md
      - ALM: api/regression/alm.md
      - Formula Syntax: api/regression/formula.md
      - Summary & Prediction: api/regression/summary-predict.md
      - Diagnostics: api/regression/diagnostics.md
      - Dynamic Models: api/regression/dynamic.md
      - Demand Classification (AID): api/regression/aid.md
  - Model Classes:
      - Linear: api/classes/linear.md
      - GLM: api/classes/glm.md
      - ALM: api/classes/alm.md
      - AID: api/classes/aid.md
      - Test Classes: api/classes/tests.md
      - Dynamic: api/classes/dynamic.md
      - Bootstrap: api/classes/bootstrap.md
  - R Validation: validation/index.md
  - Reference:
      - Output Structures: api/outputs.md
      - API Overview: api/README.md