covatest: An R Package for Selecting a Class of Space-Time Covariance Functions
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 co...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2020-06-01
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| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/3371 |
| _version_ | 1819089449140617216 |
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| author | Claudia Cappello Sandra De Iaco Donato Posa |
| author_facet | Claudia Cappello Sandra De Iaco Donato Posa |
| author_sort | Claudia Cappello |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T22:08:06Z |
| format | Article |
| id | doaj.art-32c919c7774041e29b7c552a4d0dd3a3 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-12-21T22:08:06Z |
| publishDate | 2020-06-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-32c919c7774041e29b7c552a4d0dd3a32022-12-21T18:48:40ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602020-06-0194114210.18637/jss.v094.i011362covatest: An R Package for Selecting a Class of Space-Time Covariance FunctionsClaudia CappelloSandra De IacoDonato PosaAlthough 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.https://www.jstatsoft.org/index.php/jss/article/view/3371space-time covariance functionssymmetryseparabilitytype of non-separabilitytest on classes of space-time covariance functions |
| spellingShingle | Claudia Cappello Sandra De Iaco Donato Posa covatest: An R Package for Selecting a Class of Space-Time Covariance Functions Journal of Statistical Software space-time covariance functions symmetry separability type of non-separability test on classes of space-time covariance functions |
| title | covatest: An R Package for Selecting a Class of Space-Time Covariance Functions |
| title_full | covatest: An R Package for Selecting a Class of Space-Time Covariance Functions |
| title_fullStr | covatest: An R Package for Selecting a Class of Space-Time Covariance Functions |
| title_full_unstemmed | covatest: An R Package for Selecting a Class of Space-Time Covariance Functions |
| title_short | covatest: An R Package for Selecting a Class of Space-Time Covariance Functions |
| title_sort | covatest an r package for selecting a class of space time covariance functions |
| topic | space-time covariance functions symmetry separability type of non-separability test on classes of space-time covariance functions |
| url | https://www.jstatsoft.org/index.php/jss/article/view/3371 |
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