bdgraph

BDgraph

Package	BDgraph
Version	2.72
Language	R
Docs	here
Paper	Mohammadi and Wit[1], Mohammadi and Wit[2], Mohammadi et al.[3], Dobra and Mohammadi[4]
Graph type	UG
Docker	bpimages/bdgraph:2.72.0
Module folder	bdgraph

Description

Example JSON

[
  {
    "id": "bdgraph",
    "method": "ggm",
    "algo": "bdmcmc",
    "iter": 3000,
    "gprior": 0.5,
    "dfprior": 3,
    "gstart": "empty",
    "timeout": null,
    "mcmc_seed": 1,
    "thresh": 0.5,
    "mcmc_estimator": "threshold",
    "threshold": [
      0.1,
      0.3,
      0.5,
      0.7,
      0.9,
      1.0
    ],
    "burnin_frac": 0.3
  }
]

[1]

Reza Mohammadi and Ernst C. Wit. Bdgraph: an r package for bayesian structure learning in graphical models. Journal of Statistical Software, 89(3):1–30, 2019. URL: https://www.jstatsoft.org/index.php/jss/article/view/v089i03.

[2]

Abdolreza Mohammadi and Ernst C Wit. Bayesian structure learning in sparse gaussian graphical models. Bayesian Analysis, 10(1):109–138, 2015. URL: https://projecteuclid.org/journals/bayesian-analysis/volume-10/issue-1/Bayesian-Structure-Learning-in-Sparse-Gaussian-Graphical-Models/10.1214/14-BA889.full.

[3]

Reza Mohammadi, Hélène Massam, and Gérard Letac. Accelerating bayesian structure learning in sparse gaussian graphical models. Journal of the American Statistical Association, 0(0):1–14, 2021. URL: https://doi.org/10.1080/01621459.2021.1996377.

[4]

Adrian Dobra and Reza Mohammadi. Loglinear model selection and human mobility. The Annals of Applied Statistics, 12(2):815 – 845, 2018. URL: https://doi.org/10.1214/18-AOAS1164.