|Authors:||Claudia Cappello, Sandra De Iaco, Donato Posa|
|Title:||covatest: An R Package for Selecting a Class of Space-Time Covariance Functions|
|Abstract:||Although a very rich list of classes of space-time covariance functions exists, specific tools for selecting the appropriate class for a given data set are needed. Thus, the main topic of this paper is to present the new R package, covatest, which can be used for testing some characteristics of a covariance function, such as symmetry, separability and type of non-separability, as well as for testing the adequacy of some classes of space-time covariance models. These last aspects can be relevant for choosing a suitable class of covariance models. The proposed results have been applied to an environmental case study.|
Page views:: 3512. Submitted: 2018-02-11. Published: 2020-06-30.
covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.