{"id":"https://openalex.org/W4281552705","doi":"https://doi.org/10.1186/s40537-022-00626-y","title":"Albatross analytics a hands-on into practice: statistical and data science application","display_name":"Albatross analytics a hands-on into practice: statistical and data science application","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281552705","doi":"https://doi.org/10.1186/s40537-022-00626-y"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-022-00626-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00626-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-022-00626-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-022-00626-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054788236","display_name":"Rezzy Eko Caraka","orcid":"https://orcid.org/0000-0002-1812-7478"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID","KR"],"is_corresponding":true,"raw_author_name":"Rezzy Eko Caraka","raw_affiliation_strings":["Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea","Research Center for Data and Information Sciences, Research Organization for Electronics and Informatics, National Research and Innovation Agency, Bandung, West Java, 40135, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-1812-7478","affiliations":[{"raw_affiliation_string":"Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Research Center for Data and Information Sciences, Research Organization for Electronics and Informatics, National Research and Innovation Agency, Bandung, West Java, 40135, Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014132188","display_name":"Youngjo Lee","orcid":"https://orcid.org/0000-0001-9820-6434"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjo Lee","raw_affiliation_strings":["Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086461848","display_name":"Jeongseop Han","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongseop Han","raw_affiliation_strings":["Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055769221","display_name":"Hangbin Lee","orcid":"https://orcid.org/0000-0002-3447-4306"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hangbin Lee","raw_affiliation_strings":["Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab Hierarchical Likelihood, Department of Statistics, College of Natural Science, Seoul National University, 56-1 Mountain, Sillim-dong, Gwanak-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101034200","display_name":"Maengseok Noh","orcid":null},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Maengseok Noh","raw_affiliation_strings":["Department of Statistics, Pukyong National University, Nam-gu, Yongso-ro, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Pukyong National University, Nam-gu, Yongso-ro, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070406591","display_name":"Il Do Ha","orcid":"https://orcid.org/0000-0001-8434-9506"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Il Do Ha","raw_affiliation_strings":["Department of Statistics, Pukyong National University, Nam-gu, Yongso-ro, Busan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Pukyong National University, Nam-gu, Yongso-ro, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040228784","display_name":"Prana Ugiana Gio","orcid":"https://orcid.org/0000-0002-8155-005X"},"institutions":[{"id":"https://openalex.org/I254887060","display_name":"Universitas Sumatera Utara","ror":"https://ror.org/01kknrc90","country_code":"ID","type":"education","lineage":["https://openalex.org/I254887060"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Prana Ugiana Gio","raw_affiliation_strings":["Department of Mathematics, Universitas Sumatera Utara, Medan, 20155, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Universitas Sumatera Utara, Medan, 20155, Indonesia","institution_ids":["https://openalex.org/I254887060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052689356","display_name":"Bens Pardamean","orcid":"https://orcid.org/0000-0002-7404-9005"},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bens Pardamean","raw_affiliation_strings":["Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia","Computer Science Department, BINUS Graduate Program\u2014Master of Computer Science Program, Bina Nusantara University, DKI Jakarta, 11480, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia","institution_ids":["https://openalex.org/I166073570"]},{"raw_affiliation_string":"Computer Science Department, BINUS Graduate Program\u2014Master of Computer Science Program, Bina Nusantara University, DKI Jakarta, 11480, Indonesia","institution_ids":["https://openalex.org/I166073570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054788236"],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I4387154144"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.6514,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7071184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.7060948610305786},{"id":"https://openalex.org/keywords/albatross","display_name":"Albatross","score":0.7053915858268738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6906428337097168},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5326905250549316},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.501237154006958},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4443154036998749},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4413687288761139},{"id":"https://openalex.org/keywords/multilevel-model","display_name":"Multilevel model","score":0.43377625942230225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42340749502182007},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.42014414072036743},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4179234802722931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39065539836883545},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.1985940933227539}],"concepts":[{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7060948610305786},{"id":"https://openalex.org/C2778344349","wikidata":"https://www.wikidata.org/wiki/Q55805","display_name":"Albatross","level":2,"score":0.7053915858268738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906428337097168},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5326905250549316},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.501237154006958},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4443154036998749},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4413687288761139},{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.43377625942230225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42340749502182007},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.42014414072036743},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4179234802722931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39065539836883545},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.1985940933227539},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s40537-022-00626-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00626-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-022-00626-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ffda8635bf0c41cc951d2234c2151249","is_oa":true,"landing_page_url":"https://doaj.org/article/ffda8635bf0c41cc951d2234c2151249","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":"Journal of Big Data, Vol 9, Iss 1, Pp 1-25 (2022)","raw_type":"article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/181273","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/181273","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/185192","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/185192","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1186/s40537-022-00626-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00626-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-022-00626-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4012688448","display_name":null,"funder_award_id":"2019R1A2C1002408","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G997778801","display_name":null,"funder_award_id":"NRF-2019R1A2C1002408","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281552705.pdf","grobid_xml":"https://content.openalex.org/works/W4281552705.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W175315880","https://openalex.org/W987144911","https://openalex.org/W1586335931","https://openalex.org/W1601914754","https://openalex.org/W1989474424","https://openalex.org/W1996730695","https://openalex.org/W1997213449","https://openalex.org/W1997607615","https://openalex.org/W2004962817","https://openalex.org/W2009166858","https://openalex.org/W2048665112","https://openalex.org/W2048799045","https://openalex.org/W2054953811","https://openalex.org/W2059191087","https://openalex.org/W2076063813","https://openalex.org/W2078639378","https://openalex.org/W2090749763","https://openalex.org/W2095149782","https://openalex.org/W2106638777","https://openalex.org/W2123250436","https://openalex.org/W2168149717","https://openalex.org/W2186507586","https://openalex.org/W2227583147","https://openalex.org/W2327966677","https://openalex.org/W2464614383","https://openalex.org/W2465041704","https://openalex.org/W2582743722","https://openalex.org/W2608888380","https://openalex.org/W2626406969","https://openalex.org/W2740438667","https://openalex.org/W2770289054","https://openalex.org/W2774548622","https://openalex.org/W2781715048","https://openalex.org/W2888832614","https://openalex.org/W2892611817","https://openalex.org/W2911526921","https://openalex.org/W2912940393","https://openalex.org/W2923528183","https://openalex.org/W2928839001","https://openalex.org/W2939845202","https://openalex.org/W2951635356","https://openalex.org/W2963507686","https://openalex.org/W2968098926","https://openalex.org/W2983072336","https://openalex.org/W3010079658","https://openalex.org/W3017116930","https://openalex.org/W3040436373","https://openalex.org/W3041200142","https://openalex.org/W3047833424","https://openalex.org/W3080841801","https://openalex.org/W3080881635","https://openalex.org/W3091146869","https://openalex.org/W3093120439","https://openalex.org/W3094616800","https://openalex.org/W3095174976","https://openalex.org/W3098809755","https://openalex.org/W3124166995","https://openalex.org/W3124899688","https://openalex.org/W3126941115","https://openalex.org/W3142219335","https://openalex.org/W3144619878","https://openalex.org/W3162915688","https://openalex.org/W3166456324","https://openalex.org/W3172704715","https://openalex.org/W3181880079","https://openalex.org/W3196323042","https://openalex.org/W3202759651","https://openalex.org/W4200462455","https://openalex.org/W4206173445","https://openalex.org/W4210434608","https://openalex.org/W4210862833","https://openalex.org/W4220824798","https://openalex.org/W4221126582","https://openalex.org/W4243568508","https://openalex.org/W6684770997"],"related_works":["https://openalex.org/W1970241727","https://openalex.org/W2401588063","https://openalex.org/W2183628556","https://openalex.org/W2163493657","https://openalex.org/W1511439703","https://openalex.org/W2357237528","https://openalex.org/W2127134898","https://openalex.org/W1988307110","https://openalex.org/W3124357298","https://openalex.org/W2042287631"],"abstract_inverted_index":{"Abstract":[0],"Albatross":[1,21],"Analytics":[2,22],"is":[3],"a":[4],"statistical":[5],"and":[6,64],"data":[7,9],"science":[8],"processing":[10],"platform":[11],"that":[12],"researchers":[13],"can":[14],"use":[15],"in":[16],"disciplines":[17],"of":[18,75],"various":[19,31],"fields.":[20],"makes":[23],"it":[24],"easy":[25],"to":[26],"implement":[27],"fundamental":[28],"analysis":[29],"for":[30],"regressions":[32],"with":[33],"random":[34],"model":[35],"effects,":[36],"including":[37],"Hierarchical":[38,44,51,65],"Generalized":[39,45,52],"Linear":[40,46,53],"Models":[41,47,54,69],"(HGLMs),":[42],"Double":[43,50],"(DHGLMs),":[48],"Multivariate":[49],"(MDHGLMs),":[55],"Survival":[56],"Analysis,":[57],"Frailty":[58],"Models,":[59],"Support":[60],"Vector":[61],"Machines":[62],"(SVMs),":[63],"Likelihood":[66],"Structural":[67],"Equation":[68],"(HSEMs).":[70],"We":[71],"provide":[72],"94":[73],"types":[74],"dataset":[76],"examples.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
