Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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:: 2783. Submitted: 2018-02-11. Published: 2020-06-30.
Paper: covatest: An R Package for Selecting a Class of Space-Time Covariance Functions     Download PDF (Downloads: 1213)
Supplements:
covatest_1.1.3.tar.gz: R source package Download (Downloads: 45; 61KB)
v94i01.R: R replication code Download (Downloads: 56; 9KB)

DOI: 10.18637/jss.v094.i01

by
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.