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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>.
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Package details |
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| Author | Shahin Tavakoli [aut, cre] (ORCID: <https://orcid.org/0000-0002-6323-6227>), Davide Pigoli [ctb], John Aston [ctb] |
| Maintainer | Shahin Tavakoli <shahin.tavakoli@unige.ch> |
| License | GPL-2 |
| Version | 1.1.1 |
| URL | https://doi.org/10.1214/16-AOS1495 |
| Package repository | View on CRAN |
| Installation |
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