GHS

cranv0.1

Graphical Horseshoe MCMC Sampler Using Data Augmented Block Gibbs Sampler. Draw posterior samples to estimate the precision matrix for multivariate Gaussian data. Posterior means of the samples is the graphical horseshoe estimate by Li, Bhadra and Craig(2017) <arXiv:1707.06661>. The function uses matrix decomposition and variable change from the Bayesian graphical lasso by

License GPL-2strong copyleft0 versions1 maintainers2 deps63 weekly dl
https://CRAN.R-project.org/package=GHS
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gh (missing_or_extra_char dist 1)gt (close_name dist 2)gmp (adjacent_swap_or_double dist 2)

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statsMASS
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First published · 2018-10-30 18:02:22

Last updated · 2018-10-30T17:00:07+00:00