# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "graphicalEvidence" in publications use:'
type: software
license: GPL-3.0-only
title: 'graphicalEvidence: Graphical Evidence'
version: '1.0'
doi: 10.32614/CRAN.package.graphicalEvidence
abstract: Computes marginal likelihood in Gaussian graphical models through a novel
  telescoping block decomposition of the precision matrix which allows estimation
  of model evidence. The top level function used to estimate marginal likelihood is
  called evidence, which expects the prior name, data, and relevant prior specific
  parameters. This package also provides an MCMC prior sampler using the same underlying
  approach, implemented in prior_sampling, which expects a prior name and prior specific
  parameters. Both functions also expect the number of burn-in iterations and the
  number of sampling iterations for the underlying MCMC sampler.
authors:
- family-names: Rowe
  given-names: David
  email: david@rowe-stats.com
repository: https://CRAN.R-project.org/package=graphicalEvidence
date-released: '2024-10-07'
contact:
- family-names: Rowe
  given-names: David
  email: david@rowe-stats.com