denizakdemir/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.

Getting started

Package details

AuthorDeniz Akdemir, Mohamed Somo, Julio Isidro Sanchez
MaintainerDeniz Akdemir <deniz.akdemir.work@gmail.com>
LicenseGPL
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("denizakdemir/CovCombR")
denizakdemir/CovCombR documentation built on Jan. 15, 2020, 2:03 p.m.