{"id":"https://openalex.org/W4414404154","doi":"https://doi.org/10.32614/cran.package.modelselection","title":"modelSelection: High-Dimensional Model Selection","display_name":"modelSelection: High-Dimensional Model Selection","publication_year":2025,"publication_date":"2025-09-21","ids":{"openalex":"https://openalex.org/W4414404154","doi":"https://doi.org/10.32614/cran.package.modelselection"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.modelselection","doi":"https://doi.org/10.32614/cran.package.modelselection","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.modelselection","pdf_url":"https://cran.r-project.org/web/packages/modelSelection/modelSelection.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"volume":null,"type":"dataset","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://cran.r-project.org/web/packages/modelSelection/modelSelection.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063900043","display_name":"David Rossell","orcid":"https://orcid.org/0000-0002-7104-5789","observed_orcids":["https://orcid.org/0000-0002-7104-5789"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Rossell","raw_affiliation_strings":["Repository CRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Repository CRAN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090730019","display_name":"Donatello Telesca","orcid":"https://orcid.org/0000-0003-0773-451X","observed_orcids":["https://orcid.org/0000-0003-0773-451X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donatello Telesca","raw_affiliation_strings":["Repository CRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Repository CRAN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123230779","display_name":"Oriol Abril-Pla","orcid":"https://orcid.org/0000-0002-1847-9481","observed_orcids":["https://orcid.org/0000-0002-1847-9481"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oriol Abril","raw_affiliation_strings":["Repository CRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Repository CRAN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119233233","display_name":"Miquel Torrens-Dinar\u00e8s","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miquel Torrens","raw_affiliation_strings":["Repository CRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Repository CRAN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9984999895095825,"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":0.9984999895095825,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.00019999999494757503,"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/T13141","display_name":"Statistical Methods and Applications","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/model-averaging","display_name":"model averaging","score":0.7919999957084656},{"id":"https://openalex.org/keywords/bayesian-model-selection","display_name":"Bayesian model selection","score":0.9589999914169312},{"id":"https://openalex.org/keywords/information-criteria","display_name":"information criteria","score":0.9620000123977661},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.9670000076293945},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"regression analysis","score":0.5649999976158142},{"id":"https://openalex.org/keywords/generalized-linear-models","display_name":"generalized linear models","score":1.0},{"id":"https://openalex.org/keywords/generalized-additive-models","display_name":"generalized additive models","score":1.0},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.996999979019165},{"id":"https://openalex.org/keywords/mixture-models","display_name":"mixture models","score":0.734000027179718}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6331999897956848},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.6294999718666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5040000081062317},{"id":"https://openalex.org/C2776709221","wikidata":"https://www.wikidata.org/wiki/Q6031040","display_name":"Information Criteria","level":3,"score":0.47850000858306885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45730000734329224},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42419999837875366},{"id":"https://openalex.org/C70519679","wikidata":"https://www.wikidata.org/wiki/Q6666755","display_name":"Log-linear model","level":3,"score":0.3946000039577484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37880000472068787},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.2639999985694885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C99173435","wikidata":"https://www.wikidata.org/wiki/Q4874469","display_name":"Bayesian experimental design","level":5,"score":0.25360000133514404},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.modelselection","doi":"https://doi.org/10.32614/cran.package.modelselection","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.modelselection","pdf_url":"https://cran.r-project.org/web/packages/modelSelection/modelSelection.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.32614/cran.package.modelselection","doi":"https://doi.org/10.32614/cran.package.modelselection","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.modelselection","pdf_url":"https://cran.r-project.org/web/packages/modelSelection/modelSelection.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414404154.pdf","grobid_xml":"https://content.openalex.org/works/W4414404154.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W7081644070"],"related_works":["https://openalex.org/W4399649469","https://openalex.org/W1985361918","https://openalex.org/W6903556621","https://openalex.org/W1905464286","https://openalex.org/W7101209352","https://openalex.org/W7100351295","https://openalex.org/W4399574226","https://openalex.org/W2188575589","https://openalex.org/W2493515942","https://openalex.org/W4213332834"],"abstract_inverted_index":{"Model":[0],"selection":[1,20],"and":[2,14,21,48],"averaging":[3],"for":[4,37,40],"regression,":[5],"generalized":[6,9],"linear":[7],"models,":[8,11],"additive":[10],"graphical":[12],"models":[13],"mixtures,":[15],"focusing":[16],"on":[17],"Bayesian":[18],"model":[19],"information":[22,25],"criteria":[23],"(Bayesian":[24],"criterion":[26],"etc.).":[27],"See":[28],"Rossell":[29],"(2025)":[30],"<doi:10.5281/zenodo.17119597>":[31],"(see":[32],"the":[33,45,54],"URL":[34],"field":[35],"below":[36],"its":[38],"URL)":[39],"a":[41],"hands-on":[42],"book":[43],"describing":[44],"methods,":[46],"examples":[47],"suggested":[49],"citations":[50],"if":[51],"you":[52],"use":[53],"package.":[55]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}