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.
Package details |
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Author | Deniz Akdemir, Mohamed Somo, Julio Isidro Sanchez |
Maintainer | Deniz Akdemir <deniz.akdemir.work@gmail.com> |
License | GPL |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
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