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jointMeanCov: Joint Mean and Covariance Estimation for Matrix-Variate Data

Jointly estimates two-group means and covariances for matrix-variate data and calculates test statistics. This package implements the algorithms defined in Hornstein, Fan, Shedden, and Zhou (2018) <doi:10.1080/01621459.2018.1429275>.

Version:0.1.0
Imports:glasso, graphics, stats
Suggests:knitr,rmarkdown,testthat
Published:2019-05-04
DOI:10.32614/CRAN.package.jointMeanCov
Author:Michael Hornstein [aut, cre], Roger Fan [aut], Kerby Shedden [aut], Shuheng Zhou [aut]
Maintainer:Michael Hornstein <mdhornstein at gmail.com>
License:GPL-2
NeedsCompilation:no
CRAN checks:jointMeanCov results

Documentation:

Reference manual:jointMeanCov.html ,jointMeanCov.pdf

Downloads:

Package source: jointMeanCov_0.1.0.tar.gz
Windows binaries: r-devel:jointMeanCov_0.1.0.zip, r-release:jointMeanCov_0.1.0.zip, r-oldrel:jointMeanCov_0.1.0.zip
macOS binaries: r-release (arm64):jointMeanCov_0.1.0.tgz, r-oldrel (arm64):jointMeanCov_0.1.0.tgz, r-release (x86_64):jointMeanCov_0.1.0.tgz, r-oldrel (x86_64):jointMeanCov_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=jointMeanCovto link to this page.


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