Package: covKCD 0.1

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) <arxiv:2207.12484> "Core Shrinkage Covariance Estimation for Matrix-variate data".

Authors:Peter Hoff [aut, cre]

covKCD_0.1.tar.gz
covKCD_0.1.zip(r-4.7)covKCD_0.1.zip(r-4.6)covKCD_0.1.zip(r-4.5)
covKCD_0.1.tgz(r-4.6-any)covKCD_0.1.tgz(r-4.5-any)
covKCD_0.1.tar.gz(r-4.7-any)covKCD_0.1.tar.gz(r-4.6-any)
covKCD_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
covKCD/json (API)

# Install 'covKCD' in R:
install.packages('covKCD', repos = c('https://pdhoff.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pdhoff/covkcd/issues

On CRAN:

Conda:

3.18 score 3 stars 1 scripts 203 downloads 8 exports 0 dependencies

Last updated from:19ae9da116. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK96
source / vignettesOK144
linux-release-x86_64OK95
macos-release-arm64OK75
macos-oldrel-arm64OK68
windows-develOK70
windows-releaseOK75
windows-oldrelOK57
wasm-releaseOK88

Exports:ca2cmcm2cacovCSEcovKCDlmvgammamcovmsqrtmsqrtInv

Dependencies: