covatest: Tests on Properties of Space-Time Covariance Functions

Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided. It is the companion R package to the papers of Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models <doi:10.1007/s00477-017-1472-2> and Cappello, C., De Iaco, S., Posa, D., 2020, covatest: an R package for selecting a class of space-time covariance functions <doi:10.18637/jss.v094.i01>.

Version: 1.2.0
Depends: R (≥ 3.3.0)
Imports: utils, stats, graphics, methods, lubridate, zoo, gstat, sp (≥ 0.9-72), spacetime (≥ 1.0-0)
Published: 2021-07-09
Author: Sandra De Iaco [aut, cre], Claudia Cappello [aut], Donato Posa [aut], Sabrina Maggio [ctb]
Maintainer: Sandra De Iaco <sandra.deiaco at unisalento.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
Citation: covatest citation info
CRAN checks: covatest results

Documentation:

Reference manual: covatest.pdf

Downloads:

Package source: covatest_1.2.0.tar.gz
Windows binaries: r-devel: covatest_1.2.0.zip, r-release: covatest_1.2.0.zip, r-oldrel: covatest_1.2.0.zip
macOS binaries: r-release (arm64): covatest_1.2.0.tgz, r-release (x86_64): covatest_1.2.0.tgz, r-oldrel: covatest_1.2.0.tgz
Old sources: covatest archive

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