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 |
| 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-release: CovCombR_1.0.zip, r-oldrel: CovCombR_1.0.zip |
| macOS binaries: | r-release: CovCombR_1.0.tgz, r-oldrel: CovCombR_1.0.tgz |
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