HDiR: An R Package for Computation and Nonparametric Plug-in Estimation of Directional Highest Density Regions and General Level Sets

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dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimizaciónes_ES
dc.contributor.authorSaavedra Nieves, Paula
dc.contributor.authorCrujeiras Casais, Rosa María
dc.date.accessioned2024-04-10T08:44:18Z
dc.date.available2024-04-10T08:44:18Z
dc.date.issued2022
dc.description.abstractA deeper understanding of a distribution support, being able to determine regions of a certain (possibly high) probability content is an important task in several research fields. Package HDiR for R is designed for exact computation of directional (circular and spherical) highest density regions and density level sets when the density is fully known. Otherwise, HDiR implements nonparametric plug-in methods based on different kernel density estimates for reconstructing this kind of sets. Additionally, it also allows the computation and plug-in estimation of level sets for general functions (not necessarily a density). Some exploratory tools, such as suitably adapted distances and scatterplots, are also implemented. Two original datasets and spherical density models are used for illustrating HDiR functionalitieses_ES
dc.description.peerreviewedSIes_ES
dc.description.sponsorshipP. Saavedra-Nieves and R.M. Crujeiras acknowledge the financial support of Ministerio de Ciencia e Innovación of the Spanish government under grants PID2020-118101GB-I00 and PID2020-116587GBI00 and ERDF. Authors also thank Prof. Felicita Scapini for providing the sandhoppers data (collected under the support of the European Project ERB ICI8-CT98-0270), Prof. Andrés Prieto for his help with spherical numerical integration. The authors also acknowlege the constructive comments of the AE and the reviewer, which have improved the contents of the paper and the packagees_ES
dc.identifier.citationSaavedra-Nieves, P., & Crujeiras, R. M. (2022). HDiR: An R Package for Computation and Nonparametric Plug-in Estimation of Directional Highest Density Regions and General Level Sets. R Journal, 14(3), 121-141.es_ES
dc.identifier.issn2073-4859
dc.identifier.urihttp://hdl.handle.net/10347/33477
dc.language.isoenges_ES
dc.publisherThe R Foundationes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118101GB-I00/ES/NUEVOS AVANCES METODOLOGICOS Y COMPUTATIONALES EN ESTADISTICA NO PARAMETRICA Y SEMIPARAMETRICA/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116587GB-I00/ES/DINAMICA COMPLEJA E INFERENCIA NO PARAMETRICA/es_ES
dc.relation.publisherversionhttps://doi.org/10.32614/RJ-2022-046es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionales_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleHDiR: An R Package for Computation and Nonparametric Plug-in Estimation of Directional Highest Density Regions and General Level Setses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication4e59d256-3244-4910-9f6f-8fd084214850
relation.isAuthorOfPublication72f92664-9a3d-4ef9-8d09-f35c21b9454e
relation.isAuthorOfPublication.latestForDiscovery4e59d256-3244-4910-9f6f-8fd084214850

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