{"id":"https://openalex.org/W4410577437","doi":"https://doi.org/10.1016/j.softx.2025.102204","title":"TFM: An R package for truncated factor model","display_name":"TFM: An R package for truncated factor model","publication_year":2025,"publication_date":"2025-05-21","ids":{"openalex":"https://openalex.org/W4410577437","doi":"https://doi.org/10.1016/j.softx.2025.102204"},"language":"en","primary_location":{"id":"doi:10.1016/j.softx.2025.102204","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102204","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.softx.2025.102204","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101124444","display_name":"Beibei Wu","orcid":"https://orcid.org/0000-0002-7378-2248"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Wu","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, PR China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054220910","display_name":"Guangbao Guo","orcid":"https://orcid.org/0000-0002-4115-6218"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangbao Guo","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, PR China"],"raw_orcid":"https://orcid.org/0000-0002-4115-6218","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, PR China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054220910"],"corresponding_institution_ids":["https://openalex.org/I119203015"],"apc_list":{"value":500,"currency":"USD","value_usd":500},"apc_paid":{"value":500,"currency":"USD","value_usd":500},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10709495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"102204","last_page":"102204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13748","display_name":"Advanced Statistical Modeling Techniques","score":0.9174000024795532,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13748","display_name":"Advanced Statistical Modeling Techniques","score":0.9174000024795532,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13398","display_name":"Data Analysis with R","score":0.901199996471405,"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/factor","display_name":"Factor (programming language)","score":0.6810455918312073},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6026598215103149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5709288120269775},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.37196260690689087}],"concepts":[{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.6810455918312073},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6026598215103149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5709288120269775},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.37196260690689087}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.softx.2025.102204","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102204","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6b2c7c97f2bb451c94e5cada37cceb80","is_oa":true,"landing_page_url":"https://doaj.org/article/6b2c7c97f2bb451c94e5cada37cceb80","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SoftwareX, Vol 31, Iss , Pp 102204- (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.softx.2025.102204","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102204","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1769432421","https://openalex.org/W1975900269","https://openalex.org/W1995271413","https://openalex.org/W2007368134","https://openalex.org/W2019362891","https://openalex.org/W2044809283","https://openalex.org/W2048660211","https://openalex.org/W2050583479","https://openalex.org/W2070446501","https://openalex.org/W2077169215","https://openalex.org/W2090121587","https://openalex.org/W2208086402","https://openalex.org/W2300214449","https://openalex.org/W2314351419","https://openalex.org/W2555690212","https://openalex.org/W2793441883","https://openalex.org/W2884994975","https://openalex.org/W2891807655","https://openalex.org/W2898730327","https://openalex.org/W3009104348","https://openalex.org/W3011326422","https://openalex.org/W3037274578","https://openalex.org/W3109063743","https://openalex.org/W3164985266","https://openalex.org/W4221009190","https://openalex.org/W4281841142","https://openalex.org/W4293055413","https://openalex.org/W4293182011","https://openalex.org/W4386101216","https://openalex.org/W4400234893","https://openalex.org/W4401253805","https://openalex.org/W4402637999","https://openalex.org/W4402768936","https://openalex.org/W4405761249","https://openalex.org/W4408680531","https://openalex.org/W4408681338","https://openalex.org/W6753184604"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"Truncated":[1],"Factor":[2],"Model":[3],"(TFM)":[4],"is":[5,26],"a":[6],"statistical":[7],"model":[8],"for":[9],"analyzing":[10],"high-dimensional":[11],"truncated":[12,83],"data,":[13],"leveraging":[14],"sparsity":[15],"and":[16,53,59,74],"online":[17],"learning":[18],"to":[19,55],"extract":[20],"common":[21],"factors.":[22],"Its":[23],"core":[24],"advantage":[25],"efficient":[27],"modeling":[28],"of":[29],"complex":[30],"data":[31],"structures":[32],"with":[33],"flexible":[34],"parameter":[35],"adjustments.":[36],"We":[37],"developed":[38],"an":[39],"R":[40],"package":[41],"named":[42],"TFM,":[43],"which":[44],"integrates":[45],"methods":[46,64],"like":[47],"SOPC,":[48],"SPC,":[49],"PPC,":[50],"SAPC,":[51],"IPC,":[52],"ttest":[54],"compute":[56],"factor":[57],"loading":[58],"specific":[60],"variance":[61],"matrices.":[62],"These":[63],"were":[65],"comprehensively":[66],"evaluated":[67],"using":[68],"metrics":[69],"such":[70],"as":[71],"estimation":[72],"accuracy":[73],"mean":[75],"squared":[76],"error,":[77],"demonstrating":[78],"their":[79],"effectiveness":[80],"in":[81],"handling":[82],"data.":[84]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
