{"id":"https://openalex.org/W4320021511","doi":"https://doi.org/10.32614/rj-2022-046","title":"HDiR: An R Package for Computation and Nonparametric Plug-in Estimation of Directional Highest Density Regions and General Level Sets","display_name":"HDiR: An R Package for Computation and Nonparametric Plug-in Estimation of Directional Highest Density Regions and General Level Sets","publication_year":2022,"publication_date":"2022-12-20","ids":{"openalex":"https://openalex.org/W4320021511","doi":"https://doi.org/10.32614/rj-2022-046"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2022-046","pdf_url":"https://journal.r-project.org/articles/RJ-2022-046/RJ-2022-046.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journal.r-project.org/articles/RJ-2022-046/RJ-2022-046.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029925293","display_name":"Paula Saavedra\u2010Nieves","orcid":"https://orcid.org/0000-0002-3031-388X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paula Saavedra-Nieves","raw_affiliation_strings":["CITMAga, Galician Centre for Mathematical Research and Technology"],"affiliations":[{"raw_affiliation_string":"CITMAga, Galician Centre for Mathematical Research and Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035372543","display_name":"Rosa M. Crujeiras","orcid":"https://orcid.org/0000-0002-3907-8951"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rosa M. Crujeiras","raw_affiliation_strings":["CITMAga, Galician Centre for Mathematical Research and Technology"],"affiliations":[{"raw_affiliation_string":"CITMAga, Galician Centre for Mathematical Research and Technology","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":"14","issue":"3","first_page":"121","last_page":"141"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9477,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9477,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9207,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9137,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7969502},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.73183787},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.63715446},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.50213003}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.814049},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7969502},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7516485},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.73183787},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.63715446},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5374627},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.50213003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4930646},{"id":"https://openalex.org/C84894716","wikidata":"https://www.wikidata.org/wiki/Q6935135","display_name":"Multivariate kernel density estimation","level":5,"score":0.47957295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4753663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40154868},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.327382},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2764347},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.21907943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1945242},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.16556507},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12884688},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.072582066},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2022-046","pdf_url":"https://journal.r-project.org/articles/RJ-2022-046/RJ-2022-046.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/10347/33477","pdf_url":"https://minerva.usc.es/xmlui/bitstream/10347/33477/1/HDiR%20An%20R%20Package%20for%20Computation%20and%20Nonparametric%20Plug-in%20Estimation.pdf","source":{"id":"https://openalex.org/S4306400376","display_name":"Repositorio institucional da Universidade de Santiago de Compostela (University of Santiago de Compostela)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200284239","host_organization_name":"Universidade de Santiago de Compostela","host_organization_lineage":["https://openalex.org/I200284239"],"host_organization_lineage_names":["Universidade de Santiago de Compostela"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2022-046","pdf_url":"https://journal.r-project.org/articles/RJ-2022-046/RJ-2022-046.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1544851357","https://openalex.org/W1965391607","https://openalex.org/W1975996019","https://openalex.org/W1978473933","https://openalex.org/W1988029079","https://openalex.org/W1996409688","https://openalex.org/W2021932742","https://openalex.org/W2022704357","https://openalex.org/W2046800929","https://openalex.org/W2046847615","https://openalex.org/W2047536306","https://openalex.org/W2048775123","https://openalex.org/W2060918050","https://openalex.org/W2062934120","https://openalex.org/W2075308182","https://openalex.org/W2093015317","https://openalex.org/W2093087186","https://openalex.org/W2126779282","https://openalex.org/W2128638617","https://openalex.org/W2161457086","https://openalex.org/W2170518091","https://openalex.org/W2267078244","https://openalex.org/W2321310861","https://openalex.org/W2337297617","https://openalex.org/W2559568395","https://openalex.org/W2962715586","https://openalex.org/W3004571448","https://openalex.org/W3206190861","https://openalex.org/W330985976","https://openalex.org/W4205892330","https://openalex.org/W4230434148","https://openalex.org/W4230791135","https://openalex.org/W4234453731","https://openalex.org/W4235092540","https://openalex.org/W4255469293","https://openalex.org/W4300414004","https://openalex.org/W4399573822","https://openalex.org/W4399648957"],"related_works":["https://openalex.org/W4386118679","https://openalex.org/W4320021511","https://openalex.org/W2593016693","https://openalex.org/W240249435","https://openalex.org/W2383220176","https://openalex.org/W2355371556","https://openalex.org/W2113751036","https://openalex.org/W2051218140","https://openalex.org/W2028099788","https://openalex.org/W1569550976"],"abstract_inverted_index":{"A":[0],"deeper":[1],"understanding":[2],"of":[3,12,36,70,81],"a":[4,13,89],"distribution":[5],"support,":[6],"being":[7],"able":[8],"to":[9],"determine":[10],"regions":[11,43],"certain":[14],"(possibly":[15],"high)":[16],"probability":[17],"content":[18],"is":[19,31,51],"an":[20],"important":[21],"task":[22],"in":[23],"several":[24],"research":[25],"fields.":[26],"Package":[27],"HDiR":[28,55,115],"for":[29,33,66,84,113],"R":[30],"designed":[32],"exact":[34],"computation":[35,77],"directional":[37],"(circular":[38],"and":[39,44,78,99,107],"spherical)":[40],"highest":[41],"density":[42,45,50,64,109],"level":[46,82],"sets":[47,83],"when":[48],"the":[49,76],"fully":[52],"known.":[53],"Otherwise,":[54],"implements":[56],"nonparametric":[57],"plug-in":[58,79],"methods":[59],"based":[60],"on":[61],"different":[62],"kernel":[63],"estimates":[65],"reconstructing":[67],"this":[68],"kind":[69],"sets.":[71],"Additionally,":[72],"it":[73],"also":[74,102],"allows":[75],"estimation":[80],"general":[85],"functions":[86],"(not":[87],"necessarily":[88],"density).":[90],"Some":[91],"exploratory":[92],"tools,":[93],"such":[94],"as":[95],"suitably":[96],"adapted":[97],"distances":[98],"scatterplots,":[100],"are":[101,111],"implemented.":[103],"Two":[104],"original":[105],"datasets":[106],"spherical":[108],"models":[110],"used":[112],"illustrating":[114],"functionalities.":[116]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4320021511","counts_by_year":[],"updated_date":"2024-12-08T10:01:09.478744","created_date":"2023-02-11"}