_pkgdown.yml

url: https://r-bayesian-networks.org/
template:
  bootstrap: 5
lang: en, de, fr

articles:
- title: Additive Bayesian Network Workflow
  navbar: ~
  contents:
  - quick_start_example
  - model_specification
  - structure_learning
  - parameter_learning
  - mixed_effect_BN_model
  - data_simulation
  - multiprocessing
- title: Archive
  desc: >
    Articles that are no longer maintained, but may still be useful.
  contents:
  - starts_with("archive")


reference:
- title: "Building a cache of scores"
  contents:
  - buildScoreCache
  - build.control
- title: "Structure Learning"
  contents:
  - mostProbable
  - searchHeuristic
  - searchHillClimber
- title: "Parameter Fitting"
  contents:
  - fitAbn
  - fit.control
- title: "Simulating Data"
  contents:
  - simulateAbn
  - simulateDag
- title: "Plotting"
  contents:
  - plotAbn
  - toGraphviz
- title: "Miscellaneous"
  contents:
  - linkStrength
  - mb
  - compareDag
  - compareEG
  - discretization
  - essentialGraph
  - infoDag
  - expit
  - logit
  - odds
  - or
  - logLik.abnFit
  - miData
  - skewness
  - scoreContribution
  - summary.abnDag
  - summary.abnFit
  - summary.abnMostprobable
  - AIC.abnFit
  - BIC.abnFit
- title: internal
  contents:
  - Cfunctions
  - FCV
  - abn.version
  - adg
  - calc.node.inla.glm
  - calc.node.inla.glmm
  - check.valid.buildControls
  - check.valid.dag
  - check.valid.data
  - check.valid.fitControls
  - check.valid.groups
  - check.valid.parents
  - check.which.valid.nodes
  - coef.abnFit
  - entropyData
  - ex0.dag.data
  - ex1.dag.data
  - ex2.dag.data
  - ex3.dag.data
  - ex4.dag.data
  - ex5.dag.data
  - ex6.dag.data
  - ex7.dag.data
  - expit_cpp
  - family.abnFit
  - g2b2c_data
  - g2pbcgrp
  - get.var.types
  - getMSEfromModes
  - getmarginals
  - logit_cpp
  - modes2coefs
  - nobs.abnFit
  - pigs.vienna
  - plot.abnDag
  - plot.abnFit
  - plot.abnHeuristic
  - plot.abnHillClimber
  - plot.abnMostprobable
  - print.abnCache
  - print.abnDag
  - print.abnFit
  - print.abnHeuristic
  - print.abnHillClimber
  - print.abnMostprobable
  - validate_abnDag
  - validate_dists
  - var33