mvgraphnorm: Multivariate Gaussian Graphical Model Analysis

Generate constrained covariance matrix for a given graph to generate samples from a Gaussian graphical model using different algorithms for the analysis of complex network structure. We use three algorithms which are (1) Kim, K. I. et. al. (2008), <doi:10.1186/1471-2105-9-114> (2) IPF, Speed, T. et. al. (1986) <doi:10.1214/aos/1176349846>, (3) HTF, Hastie, T. et. al. (2009) <isbn: 9780387848570>.

Version: 1.81
Depends: R (≥ 2.12.0), igraph, mvtnorm, qpgraph (≥ 1.9.2)
Imports: Matrix, bnlearn, corpcor
Published: 2019-04-09
Author: Shailesh Tripathi, Frank Emmert-Streib
Maintainer: Shailesh Tripathi <shailesh.tripathy at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: mvgraphnorm results

Downloads:

Reference manual: mvgraphnorm.pdf
Vignettes: mvgraphnorm: An R package which generates constrained covariance matrix for a given graph to generate samples from a Gaussian graphical model
Package source: mvgraphnorm_1.81.tar.gz
Windows binaries: r-devel: mvgraphnorm_1.81.zip, r-devel-gcc8: mvgraphnorm_1.81.zip, r-release: mvgraphnorm_1.81.zip, r-oldrel: mvgraphnorm_1.81.zip
OS X binaries: r-release: not available, r-oldrel: not available

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