The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.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 form https://CRAN.R-project.org/package=jointMeanCov to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.