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
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

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