Package: graphicalEvidence 1.1

David Rowe

graphicalEvidence: Graphical Evidence

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:David Rowe [aut, cre]

graphicalEvidence_1.1.tar.gz
graphicalEvidence_1.1.tar.gz(r-4.5-noble)graphicalEvidence_1.1.tar.gz(r-4.4-noble)
graphicalEvidence_1.1.tgz(r-4.4-emscripten)graphicalEvidence_1.1.tgz(r-4.3-emscripten)
graphicalEvidence.pdf |graphicalEvidence.html
graphicalEvidence/json (API)

# Install 'graphicalEvidence' in R:
install.packages('graphicalEvidence', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

2.00 score 575 downloads 7 exports 7 dependencies

Last updated 1 months agofrom:c146196b3f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linux-x86_64OKDec 08 2024

Exports:evidencegen_params_evidencegraphical_evidence_G_Wishartgraphical_evidence_rmatrixprior_samplingset_seed_evidencetest_evidence

Dependencies:codetoolsdoParallelforeachiteratorsmvtnormRcppRcppArmadillo