{"id":"https://openalex.org/W4415311435","doi":"https://doi.org/10.48550/arxiv.2509.02202","title":"DEViaN-LM: An R Package for Detecting Abnormal Values in the Gaussian Linear Model","display_name":"DEViaN-LM: An R Package for Detecting Abnormal Values in the Gaussian Linear Model","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4415311435","doi":"https://doi.org/10.48550/arxiv.2509.02202"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.02202","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.02202","pdf_url":"https://arxiv.org/pdf/2509.02202","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.02202","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088790748","display_name":"Geoffroy Berthelot","orcid":"https://orcid.org/0000-0003-4036-6114"},"institutions":[{"id":"https://openalex.org/I4210139431","display_name":"Instituto Superior de Ciencias Sociais e Rela\u00e7\u00f5es Internacionais","ror":"https://ror.org/04sh4pf16","country_code":"AO","type":"education","lineage":["https://openalex.org/I4210139431"]},{"id":"https://openalex.org/I52435824","display_name":"Institut National du Sport, de l'Expertise et de la Performance","ror":"https://ror.org/03jczk481","country_code":"FR","type":"other","lineage":["https://openalex.org/I52435824"]}],"countries":["AO","FR"],"is_corresponding":true,"raw_author_name":"Berthelot, Geoffroy","raw_affiliation_strings":["IRMES - URP\\_7329, RELAIS","RELAIS - REsearch LAboratory for Interdisciplinary Studies (Paris - France)","IRMES - URP_7329 - Institut de recherche biom\u00e9dicale et d\u2019\u00e9pid\u00e9miologie du sport (Institut National du Sport, de l\u2019Expertise et de la Performance (INSEP) \r\n11 avenue du Tremblay \r\n75012 Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRMES - URP\\_7329, RELAIS","institution_ids":["https://openalex.org/I4210139431"]},{"raw_affiliation_string":"RELAIS - REsearch LAboratory for Interdisciplinary Studies (Paris - France)","institution_ids":[]},{"raw_affiliation_string":"IRMES - URP_7329 - Institut de recherche biom\u00e9dicale et d\u2019\u00e9pid\u00e9miologie du sport (Institut National du Sport, de l\u2019Expertise et de la Performance (INSEP) \r\n11 avenue du Tremblay \r\n75012 Paris - France)","institution_ids":["https://openalex.org/I52435824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063506295","display_name":"Guillaume Sauli\u00e8re","orcid":"https://orcid.org/0000-0001-8263-6456"},"institutions":[{"id":"https://openalex.org/I4210107956","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/01j4h9t83","country_code":"NC","type":"education","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1327553481","https://openalex.org/I154202486","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210107956","https://openalex.org/I4210113730","https://openalex.org/I4210131494","https://openalex.org/I4210166444","https://openalex.org/I4405257220"]},{"id":"https://openalex.org/I52435824","display_name":"Institut National du Sport, de l'Expertise et de la Performance","ror":"https://ror.org/03jczk481","country_code":"FR","type":"other","lineage":["https://openalex.org/I52435824"]}],"countries":["FR","NC"],"is_corresponding":false,"raw_author_name":"Sauli\u00e8re, Guillaume","raw_affiliation_strings":["IRMES - URP\\_7329","IRMES - URP_7329 - Institut de recherche biom\u00e9dicale et d\u2019\u00e9pid\u00e9miologie du sport (Institut National du Sport, de l\u2019Expertise et de la Performance (INSEP) \r\n11 avenue du Tremblay \r\n75012 Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRMES - URP\\_7329","institution_ids":["https://openalex.org/I4210107956"]},{"raw_affiliation_string":"IRMES - URP_7329 - Institut de recherche biom\u00e9dicale et d\u2019\u00e9pid\u00e9miologie du sport (Institut National du Sport, de l\u2019Expertise et de la Performance (INSEP) \r\n11 avenue du Tremblay \r\n75012 Paris - France)","institution_ids":["https://openalex.org/I52435824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044466365","display_name":"J\u00e9r\u00f4me Dedecker","orcid":"https://orcid.org/0000-0002-8838-0356"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210102957","display_name":"D\u00e9partement math\u00e9matiques, informatique, sciences de la donn\u00e9e et technologies du num\u00e9rique","ror":"https://ror.org/011emb038","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210088668","https://openalex.org/I4210102957"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dedecker, J\u00e9r\u00f4me","raw_affiliation_strings":["MAP5 - UMR 8145","MAP5 - UMR 8145 - Math\u00e9matiques Appliqu\u00e9es Paris 5 (UFR Math\u00e9matiques et Informatique, \r\n45 rue des Saints-P\u00e8res \r\n75270 PARIS CEDEX 06 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MAP5 - UMR 8145","institution_ids":["https://openalex.org/I4387154995"]},{"raw_affiliation_string":"MAP5 - UMR 8145 - Math\u00e9matiques Appliqu\u00e9es Paris 5 (UFR Math\u00e9matiques et Informatique, \r\n45 rue des Saints-P\u00e8res \r\n75270 PARIS CEDEX 06 - France)","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210102957","https://openalex.org/I4387154995"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088790748"],"corresponding_institution_ids":["https://openalex.org/I4210139431","https://openalex.org/I52435824"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7896000146865845,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7896000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/studentized-range","display_name":"Studentized range","score":0.6699000000953674},{"id":"https://openalex.org/keywords/studentized-residual","display_name":"Studentized residual","score":0.6692000031471252},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4934000074863434},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48260000348091125},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.41749998927116394},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.37459999322891235},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.34940001368522644}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6924999952316284},{"id":"https://openalex.org/C125918824","wikidata":"https://www.wikidata.org/wiki/Q7627920","display_name":"Studentized range","level":3,"score":0.6699000000953674},{"id":"https://openalex.org/C175615203","wikidata":"https://www.wikidata.org/wiki/Q6143358","display_name":"Studentized residual","level":2,"score":0.6692000031471252},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4934000074863434},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4323999881744385},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4011000096797943},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.37459999322891235},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.258899986743927},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.2540999948978424}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2509.02202","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.02202","pdf_url":"https://arxiv.org/pdf/2509.02202","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-05230549v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05230549","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025","raw_type":"Preprints, Working Papers, ..."},{"id":"doi:10.48550/arxiv.2509.02202","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.02202","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.02202","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.02202","pdf_url":"https://arxiv.org/pdf/2509.02202","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,19],"DEViaN-LM":[1],"is":[2,21,35],"a":[3,15,36],"R":[4],"package":[5],"that":[6],"allows":[7],"to":[8,50,55,78],"detect":[9,56],"the":[10,24,27,31,40,43,71],"values":[11,58],"poorly":[12],"explained":[13],"by":[14],"Gaussian":[16],"linear":[17],"model.":[18,44],"procedure":[20],"based":[22],"on":[23,81],"maximum":[25],"of":[26,30,39,42,62],"absolute":[28],"value":[29],"studentized":[32],"residuals,":[33],"which":[34],"free":[37],"statistic":[38],"parameters":[41],"This":[45],"approach":[46],"makes":[47],"it":[48,80],"possible":[49],"generalize":[51],"several":[52],"procedures":[53],"used":[54],"abnormal":[57],"during":[59],"longitudinal":[60],"monitoring":[61],"certain":[63],"biological":[64],"markers.":[65],"In":[66],"this":[67],"article,":[68],"we":[69,75],"describe":[70],"method":[72],"used,":[73],"and":[74],"show":[76],"how":[77],"implement":[79],"different":[82],"real":[83],"datasets.":[84]},"counts_by_year":[],"updated_date":"2026-05-18T08:16:58.900851","created_date":"2025-10-10T00:00:00"}
