Litcius/Paper detail

<b>covatest</b>: An <i>R</i> Package for Selecting a Class of Space-Time Covariance Functions

Claudia Cappello, Sandra De Iaco, D. Posa

2020Journal of Statistical Software22 citationsDOIOpen Access PDF

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.

Topics & Concepts

CovarianceCovariance functionClass (philosophy)Set (abstract data type)Function (biology)Computer scienceSpace (punctuation)R packageAnalysis of covarianceMathematicsAlgorithmStatisticsArtificial intelligenceMachine learningProgramming languageBiologyOperating systemEvolutionary biologySoil Geostatistics and MappingStatistical and numerical algorithms