bgms/_pkgdown.yml at main · Bayesian-Graphical-Modelling-Lab/bgms · GitHub

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url: https://bayesian-graphical-modelling-lab.github.io/bgms/
template:
  package: tidytemplate
  bootstrap: 5

reference:
  - title: Model fitting
    desc: Fit Bayesian graphical models and compare groups.
    contents:
      - bgm
      - bgmCompare

  - title: Posterior methods
    desc: Inspect and summarize fitted models.
    contents:
      - print.bgms
      - summary.bgms
      - coef.bgms
      - print.bgmCompare
      - summary.bgmCompare
      - coef.bgmCompare

  - title: Simulation and prediction
    desc: >
      Generate observations or predict new ones. `simulate_*` functions
      draw data given known parameters (forward simulation, exact draws);
      `sample_*` functions run an MCMC sampler to draw from a target
      distribution (e.g. the prior on the precision matrix).
    contents:
      - simulate_mrf
      - simulate.bgms
      - simulate.bgmCompare
      - predict.bgms
      - predict.bgmCompare
      - sample_ggm_prior

  - title: Prior constructors
    desc: Specify priors for model parameters, precision scale, and edge inclusion.
    contents:
      - cauchy_prior
      - normal_prior
      - beta_prime_prior
      - gamma_prior
      - exponential_prior
      - bernoulli_prior
      - beta_bernoulli_prior
      - sbm_prior

  - title: Extractors
    desc: Extract specific components from fitted model objects.
    contents:
      - starts_with("extract_")

  - title: Legacy
    desc: Deprecated functions retained for backwards compatibility.
    contents:
      - mrfSampler

  - title: Datasets
    contents:
      - ADHD
      - Boredom
      - Wenchuan

  - title: Package
    contents:
      - bgms-package

articles:
  - title: Getting started
    contents:
      - intro
  - title: Advanced topics
    contents:
      - comparison
      - diagnostics