nutriNetwork: Structure Learning with Copula Graphical Model

Statistical tool for learning the structure of direct associations among variables for continuous data, discrete data and mixed discrete-continuous data. The package is based on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.

Version:	0.1.2
Depends:	R (≥ 3.1.0)
Imports:	Matrix, igraph, parallel, methods, glasso, huge, tmvtnorm
Published:	2023-07-05
Author:	Pariya Behrouzi <https://orcid.org/0000-0001-6762-5433>
Maintainer:	Pariya Behrouzi <pariya.behrouzi at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	nutriNetwork results

Documentation:

Reference manual:

nutriNetwork.pdf

Downloads:

Package source:	nutriNetwork_0.1.2.tar.gz
Windows binaries:	r-prerel: nutriNetwork_0.1.2.zip, r-release: nutriNetwork_0.1.2.zip, r-oldrel: nutriNetwork_0.1.2.zip
macOS binaries:	r-prerel (arm64): nutriNetwork_0.1.2.tgz, r-release (arm64): nutriNetwork_0.1.2.tgz, r-oldrel (arm64): nutriNetwork_0.1.2.tgz, r-prerel (x86_64): nutriNetwork_0.1.2.tgz, r-release (x86_64): nutriNetwork_0.1.2.tgz
Old sources:	nutriNetwork archive

Linking:

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