covsep: Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable

Functions for testing if the covariance structure of 2-dimensional data (e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if covariance(X) = C_1 x C_2. A complete descriptions of the implemented tests can be found in the paper Aston et al. (2017) <doi:10.1214/16-AOS1495> <doi:10.48550/arXiv.1505.02023>.

Version:	1.1.1
Depends:	R (≥ 3.2.3)
Imports:	mvtnorm (≥ 1.0.4)
Published:	2026-06-26
DOI:	10.32614/CRAN.package.covsep
Author:	Shahin Tavakoli [aut, cre], Davide Pigoli [ctb], John Aston [ctb]
Maintainer:	Shahin Tavakoli <shahin.tavakoli at unige.ch>
License:	GPL-2
URL:	https://doi.org/10.1214/16-AOS1495
NeedsCompilation:	no
CRAN checks:	covsep results

Documentation:

Reference manual:

covsep.html , covsep.pdf

Downloads:

Package source:	covsep_1.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: covsep_1.1.1.zip
macOS binaries:	r-release (arm64): covsep_1.1.1.tgz, r-oldrel (arm64): covsep_1.1.1.tgz, r-release (x86_64): covsep_1.1.1.tgz, r-oldrel (x86_64): covsep_1.1.1.tgz
Old sources:	covsep archive

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