{"id":"https://openalex.org/W7135014814","doi":"https://doi.org/10.21105/joss.08382","title":"baysc: An R package for Bayesian survey clustering","display_name":"baysc: An R package for Bayesian survey clustering","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135014814","doi":"https://doi.org/10.21105/joss.08382","pmid":"https://pubmed.ncbi.nlm.nih.gov/41982392"},"language":"en","primary_location":{"id":"doi:10.21105/joss.08382","is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.08382","pdf_url":"https://joss.theoj.org/papers/10.21105/joss.08382.pdf","source":{"id":"https://openalex.org/S4210214273","display_name":"The Journal of Open Source Software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Open Source Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://joss.theoj.org/papers/10.21105/joss.08382.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035858935","display_name":"Stephanie M. Wu","orcid":"https://orcid.org/0000-0001-5110-8407"},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephanie M. Wu","raw_affiliation_strings":["Division of Psychiatry, UCL, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5110-8407","affiliations":[{"raw_affiliation_string":"Division of Psychiatry, UCL, London, U.K","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128777154","display_name":"Matthew R. Williams","orcid":null},"institutions":[{"id":"https://openalex.org/I180297670","display_name":"RTI International","ror":"https://ror.org/052tfza37","country_code":"US","type":"funder","lineage":["https://openalex.org/I180297670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew R. Williams","raw_affiliation_strings":["RTI International, Research Triangle Park, North Carolina, U.S.A"],"raw_orcid":"https://orcid.org/0000-0001-8894-1240","affiliations":[{"raw_affiliation_string":"RTI International, Research Triangle Park, North Carolina, U.S.A","institution_ids":["https://openalex.org/I180297670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074507246","display_name":"Terrance D. Savitsky","orcid":"https://orcid.org/0000-0003-1843-3106"},"institutions":[{"id":"https://openalex.org/I1290095210","display_name":"Bureau of Labor Statistics","ror":"https://ror.org/03z2d7y96","country_code":"US","type":"government","lineage":["https://openalex.org/I1290095210","https://openalex.org/I1312264882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Terrance D. Savitsky","raw_affiliation_strings":["Office of Survey Methods Research, U.S. Bureau of Labor Statistics, Washington, DC, U.S.A"],"raw_orcid":"https://orcid.org/0000-0003-1843-3106","affiliations":[{"raw_affiliation_string":"Office of Survey Methods Research, U.S. Bureau of Labor Statistics, Washington, DC, U.S.A","institution_ids":["https://openalex.org/I1290095210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122972971","display_name":"Briana J.K. Stephenson","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Briana J. K. Stephenson","raw_affiliation_strings":["Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, U.S.A"],"raw_orcid":"https://orcid.org/0000-0002-6147-1039","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, U.S.A","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2147106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"119","first_page":"8382","last_page":"8382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.733299970626831,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.733299970626831,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.060600001364946365,"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":0.023000000044703484,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7235999703407288},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6304000020027161},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4927000105381012},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47699999809265137},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.27070000767707825},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.2644999921321869}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7235999703407288},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6304000020027161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910000205039978},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5443000197410583},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29269999265670776},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.25290000438690186},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21105/joss.08382","is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.08382","pdf_url":"https://joss.theoj.org/papers/10.21105/joss.08382.pdf","source":{"id":"https://openalex.org/S4210214273","display_name":"The Journal of Open Source Software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Open Source Software","raw_type":"journal-article"},{"id":"pmid:41982392","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41982392","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of open source software","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13075476","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13075476/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13075476/pdf/nihms-2163495.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Open Source Softw","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.21105/joss.08382","is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.08382","pdf_url":"https://joss.theoj.org/papers/10.21105/joss.08382.pdf","source":{"id":"https://openalex.org/S4210214273","display_name":"The Journal of Open Source Software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Open Source Software","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G166798358","display_name":null,"funder_award_id":"T32-AI007358","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"},{"id":"https://openalex.org/G2740126585","display_name":null,"funder_award_id":"R25HL105400","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G6739263153","display_name":null,"funder_award_id":"HL105400","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320334227","display_name":"Harvard Data Science Initiative, Harvard University","ror":null},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337355","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7135014814.pdf","grobid_xml":"https://content.openalex.org/works/W7135014814.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1874719720","https://openalex.org/W1895061061","https://openalex.org/W2171814052","https://openalex.org/W2281245796","https://openalex.org/W2768798203","https://openalex.org/W2897577886","https://openalex.org/W2963062810","https://openalex.org/W3044050158","https://openalex.org/W4328105806","https://openalex.org/W4389607848","https://openalex.org/W4403848375"],"related_works":[],"abstract_inverted_index":{"Model-based":[0],"clustering":[1],"methods":[2],"allow":[3,60],"a":[4,20,28],"large":[5],"number":[6,62],"of":[7,46,57,63],"correlated":[8],"variables":[9],"to":[10,27,65],"be":[11,66],"summarized":[12],"into":[13],"underlying":[14],"patterns,":[15],"where":[16],"each":[17,23],"pattern":[18],"describes":[19],"cluster":[21],"and":[22,43,48],"individual":[24],"is":[25],"assigned":[26],"cluster.Example":[29],"applications":[30],"include":[31],"identifying":[32],"dietary":[33,36],"patterns":[34],"from":[35],"intake":[37],"data":[38,70],"(Stephenson":[39],"et":[40],"al.,":[41],"2020)":[42],"creating":[44],"profiles":[45],"health":[47],"development":[49],"among":[50],"children":[51],"(Lanza":[52],"&":[53],"Cooper,":[54],"2016).Bayesian":[55],"formulations":[56],"such":[58],"analyses":[59],"the":[61,69],"clusters":[64],"determined":[67],"by":[68],"rather":[71],"than":[72],"through":[73],"researcher":[74],"post-hoc":[75],"analyses.":[76]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2026-03-13T00:00:00"}
