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
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
CRAN checks: CovCombR results

Downloads:

Reference manual: CovCombR.pdf
Vignettes: Combining partial genomic relationship matrices using CovCombR package
Package source: CovCombR_1.0.tar.gz
Windows binaries: r-devel: CovCombR_1.0.zip, r-devel-gcc8: CovCombR_1.0.zip, r-release: CovCombR_1.0.zip, r-oldrel: CovCombR_1.0.zip
OS X binaries: r-release: CovCombR_1.0.tgz, r-oldrel: CovCombR_1.0.tgz

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