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CovCombR  

Combine Partial Covariance / Relationship Matrices
View on CRAN: Click here


Download and install CovCombR package within the R console
Install from CRAN:
install.packages("CovCombR")

Install from Github:
library("remotes")
install_github("cran/CovCombR")

Install by package version:
library("remotes")
install_version("CovCombR", "1.0")



Attach the package and use:
library("CovCombR")
Maintained by
Deniz Akdemir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-18
Latest Update: 2020-01-18
Description:
Combine partial covariance matrices using a Wishart-EM algorithm. Methods are described in the November 2019 article by Akdemir et al. . 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.
How to cite:
Deniz Akdemir (2020). CovCombR: Combine Partial Covariance / Relationship Matrices. R package version 1.0, https://cran.r-project.org/web/packages/CovCombR. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited CovCombR R package
View CovCombR citation profile
Other R packages that CovCombR depends, imports, suggests or enhances
Complete documentation for CovCombR
Functions, R codes and Examples using the CovCombR R package
Some associated functions: BarleyPheno . CovComb . CovCombR-package . GetVarCov . 
Some associated R codes: CovComb.R . DisttoKcent.R . GetVarCov.R . Hmatfunc.R . KtoDist.R . addMatBtoA.R . insertMatBtoA.R . insertMatBtoAmean.R . loglikfunc.R . onAttach.R . substractMatBfromA.R . vec2symMat.R .  Full CovCombR package functions and examples
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