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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 |
| Reference manual: | covKCD.pdf |
| 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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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.