_pkgdown.yml

templates:
  params:
    bootswatch: readable

navbar:
  title: "GroßBM"
  type: inverse
  left:
    - icon: fa-home
    - text: "Home"
      href: index.html
    - text: "Reference"
      href: "reference/index.html"
    - text: "Vignettes"
      menu:
      - text: "Fungus-tree interaction with simple and bipartite SBM"
        href: articles/SBM_fungus_tree_network.html
      - text: "Mutualistic ecological network with multipartite SBM"
        href: articles/Multipartite_EcologicalNetwork.html
      - text: "Multiplex SBM: Principle and illustration"
        href: articles/MultiplexNetwork_principle.html
      - text: "Multiplex SBM: War and Alliance case study"
        href: articles/Multiplex_allianceNwar_case_study.html
    - text: "Changelog"
      href: news/index.html
  right:
    - icon: fa-github
      href: https://github.com/GrossSBM/GSBM

reference:
- title: 'Simple SBM'
  desc: >
      Set of classes and functions for manipulating simple stochastic block models
  contents:
    - '`SimpleSBM`'
    - '`SimpleSBM_fit`'
    - '`sampleSimpleSBM`'
    - '`estimateSimpleSBM`'
- title: 'Bipartite Stochastic block models'
  desc: >
    Set of classes and functions for manipulating bipartite stochastic block models
  contents:
    - '`BipartiteSBM`'
    - '`BipartiteSBM_fit`'
    - '`sampleBipartiteSBM`'
    - '`estimateBipartiteSBM`'
- title: 'Multipartite Stochastic block models'
  desc: >
    Set of classes and functions for manipulating multipartite stochastic block models
  contents:
    - '`MultipartiteSBM`'
    - '`MultipartiteSBM_fit`'
    - '`MultiplexSBM_fit`'
    - '`sampleMultipartiteSBM`'
    - '`estimateMultipartiteSBM`'
- title: 'Multilayer (aka Multiplex) Stochastic block models'
  desc: >
    Set of classes and functions for manipulating multiplex stochastic block models
  contents:
    - '`MultiplexSBM_fit`'
    - '`sampleMultiplexSBM`'
    - '`estimateMultiplexSBM`'
    - '`plotMyMultiplexMatrix`'
- title: 'Methods common to all SBM'
  desc: >
    Set of classes and functions for manipulating stochastic block models
  contents:
    - '`is_SBM`'
    - '`plot.SBM`'
    - '`predict.SBM`'
    - '`coef.SBM`'
    - '`fitted.SBM`'
    - '`defineSBM`'
    - '`plotMyMatrix`'
    - '`plotMyMultipartiteMatrix`'
- title: 'Data sets'
  desc: >
    Sets of data available
  contents:
    - '`fungusTreeNetwork`'
    - '`multipartiteEcologicalNetwork`'
    - '`war`'
- title: 'Others'
  desc: >
    Miscellaneous
  contents:
    - '`plotAlluvial`'
- title: 'Virtual methods'
  desc: >
    Comprehensive list of remaning classes and methods used internally
  contents:
    - '`SBM`'
    - '`plotAlluvial`'