covKCD: Covariance Estimation for Matrix Data with the Kronecker-Core Decomposition

Matrix-variate covariance estimation via the Kronecker-core decomposition. Computes the Kronecker and core covariance matrices corresponding to an arbitrary covariance matrix, and provides an empirical Bayes covariance estimator that adaptively shrinks towards the space of separable covariance matrices. For details, see Hoff, McCormack and Zhang (2022) <doi:10.48550/arXiv.2207.12484> "Core Shrinkage Covariance Estimation for Matrix-variate data".

Version:	0.1
Published:	2022-08-13
DOI:	10.32614/CRAN.package.covKCD
Author:	Peter Hoff [aut, cre]
Maintainer:	Peter Hoff <peter.hoff at duke.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	covKCD results

Documentation:

Reference manual:

covKCD.pdf

Downloads:

Package source:	covKCD_0.1.tar.gz
Windows binaries:	r-devel: covKCD_0.1.zip, r-release: covKCD_0.1.zip, r-oldrel: covKCD_0.1.zip
macOS binaries:	r-release (arm64): covKCD_0.1.tgz, r-oldrel (arm64): covKCD_0.1.tgz, r-release (x86_64): covKCD_0.1.tgz, r-oldrel (x86_64): covKCD_0.1.tgz

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