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covKCD (version 0.1)

Covariance Estimation for Matrix Data with the Kronecker-Core Decomposition

Description

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) "Core Shrinkage Covariance Estimation for Matrix-variate data".

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Version

Install

install.packages('covKCD')

Monthly Downloads

243

Version

0.1

License

GPL-3

Maintainer

Peter Hoff

Last Published

August 13th, 2022

Functions in covKCD (0.1)

lmvgamma

Log multivariate gamma function
mcov

Matrix-variate covariance matrix
msqrt

Symmetric square root of a matrix
msqrtInv

Inverse symmetric square root of a matrix
covCSE

Empirical Bayes core shrinkage covariance estimator
covKCD

Kronecker-core covariance decomposition
ca2cm

Covariance array to covariance matrix
cm2ca

Covariance matrix to covariance array