CovCombR: Combine Partial Covariance / Relationship Matrices

Combine partial covariance matrices using a Wishart-EM algorithm. Methods are described in the November 2019 article by Akdemir et al. <https://www.biorxiv.org/content/10.1101/857425v1>. It can be used to combine partially overlapping covariance matrices from independent trials, partially overlapping multi-view relationship data from genomic experiments, partially overlapping Gaussian graphs described by their covariance structures. High dimensional covariance estimation, multi-view data integration. high dimensional covariance graph estimation.

Version:	1.0
Depends:	R (≥ 3.5.0)
Imports:	Matrix, nlme, CholWishart
Suggests:	knitr, plyr, spcov, qgraph, igraph
Published:	2020-01-18
DOI:	10.32614/CRAN.package.CovCombR
Author:	Deniz Akdemir, Mohamed Somo, Julio Isidro Sanchez
Maintainer:	Deniz Akdemir <deniz.akdemir.work at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation:	yes
Citation:	CovCombR citation info
Materials:	README
In views:	Omics
CRAN checks:	CovCombR results

Documentation:

Reference manual:	CovCombR.pdf
Vignettes:	Combining partial genomic relationship matrices using CovCombR package

Downloads:

Package source:	CovCombR_1.0.tar.gz
Windows binaries:	r-devel: CovCombR_1.0.zip, r-release: CovCombR_1.0.zip, r-oldrel: CovCombR_1.0.zip
macOS binaries:	r-release (arm64): CovCombR_1.0.tgz, r-oldrel (arm64): CovCombR_1.0.tgz, r-release (x86_64): CovCombR_1.0.tgz, r-oldrel (x86_64): CovCombR_1.0.tgz

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