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, John A. D.; Pigoli, Davide; Tavakoli, Shahin. Tests for separability in nonparametric covariance operators of random surfaces. Ann. Statist. 45 (2017), no. 4, 1431–1461. <doi:10.1214/16-AOS1495> <https://projecteuclid.org/euclid.aos/1498636862> <arXiv:1505.02023>.
Version: | 1.1.0 |
Depends: | R (≥ 3.2.3) |
Imports: | mvtnorm (≥ 1.0.4) |
Published: | 2018-05-06 |
Author: | Shahin Tavakoli [aut, cre], Davide Pigoli [ctb], John Aston [ctb] |
Maintainer: | Shahin Tavakoli <s.tavakoli at warwick.ac.uk> |
License: | GPL-2 |
URL: | http://arxiv.org/abs/1505.02023 |
NeedsCompilation: | no |
In views: | FunctionalData |
CRAN checks: | covsep results |
Reference manual: | covsep.pdf |
Package source: | covsep_1.1.0.tar.gz |
Windows binaries: | r-devel: covsep_1.1.0.zip, r-release: covsep_1.1.0.zip, r-oldrel: covsep_1.1.0.zip |
macOS binaries: | r-release: covsep_1.1.0.tgz, r-oldrel: covsep_1.1.0.tgz |
Old sources: | covsep archive |
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