Package: graphicalEvidence
Type: Package
Title: Graphical Evidence
Version: 1.1
Date: 2024-11-04
Authors@R: person(given = "David",
                    family = "Rowe",
                    role = c("aut", "cre"),
                    email = "david@rowe-stats.com")
Maintainer: David Rowe <david@rowe-stats.com>
Description: 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.
License: GPL-3
Imports: Rcpp, parallel, doParallel, foreach, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
StagedInstall: true
RoxygenNote: 7.3.1
NeedsCompilation: yes
Packaged: 2024-11-06 16:58:15 UTC; dprow
Author: David Rowe [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-07 11:40:07 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 17:20:14 UTC; unix
Archs: graphicalEvidence.so.dSYM
