covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
Dublin Core
Title
covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
Subject
: space-time covariance functions, symmetry, separability, type of non-separability,
test on classes of space-time covariance functions
test on classes of space-time covariance functions
Description
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
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
Creator
Claudia Cappello
Source
https://www.jstatsoft.org/article/view/v094i01
Publisher
University of Salento
Date
June 2020
Contributor
Fajar bagus W
Format
PDF
Language
Inggris
Type
Text
Files
Collection
Citation
Claudia Cappello, “covatest: An R Package for Selecting a Class of Space-Time Covariance Functions,” Repository Horizon University Indonesia, accessed April 19, 2025, https://repository.horizon.ac.id/items/show/8134.