{"id":"https://openalex.org/W2803250561","doi":"https://doi.org/10.32614/rj-2018-004","title":"Residuals and Diagnostics for Binary and Ordinal Regression Models: An Introduction to the sure Package","display_name":"Residuals and Diagnostics for Binary and Ordinal Regression Models: An Introduction to the sure Package","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2803250561","doi":"https://doi.org/10.32614/rj-2018-004","mag":"2803250561"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2018-004","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2018-004","pdf_url":"https://journal.r-project.org/archive/2018/RJ-2018-004/RJ-2018-004.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.r-project.org/archive/2018/RJ-2018-004/RJ-2018-004.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046214533","display_name":"M. Greenwell Brandon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brandon,M. Greenwell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112365751","display_name":"Jackson Andrew","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew,J. McCarthy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101036240","display_name":"C. Boehmke Bradley","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bradley,C. Boehmke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014223050","display_name":"Dungang Liu","orcid":"https://orcid.org/0000-0001-5340-9465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dungang Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1846,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.91924838,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"1","first_page":"381","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.17229999601840973,"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":0.17229999601840973,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.15160000324249268,"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/r-package","display_name":"R package","score":0.8281927704811096},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.7629609107971191},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.656334400177002},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6387895345687866},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5032984614372253},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4955953359603882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43112289905548096},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4228220582008362},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41098272800445557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3927375376224518},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.05018743872642517}],"concepts":[{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.8281927704811096},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.7629609107971191},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.656334400177002},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6387895345687866},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5032984614372253},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4955953359603882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43112289905548096},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4228220582008362},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41098272800445557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3927375376224518},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.05018743872642517}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/rj-2018-004","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2018-004","pdf_url":"https://journal.r-project.org/archive/2018/RJ-2018-004/RJ-2018-004.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32614/rj-2018-004","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2018-004","pdf_url":"https://journal.r-project.org/archive/2018/RJ-2018-004/RJ-2018-004.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2803250561.pdf","grobid_xml":"https://content.openalex.org/works/W2803250561.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1587026990","https://openalex.org/W1965328698","https://openalex.org/W2016349242","https://openalex.org/W2072373892","https://openalex.org/W2117897510","https://openalex.org/W2465493330","https://openalex.org/W2603410156","https://openalex.org/W2947595006","https://openalex.org/W4399512977","https://openalex.org/W4399551600","https://openalex.org/W4399569456","https://openalex.org/W4399635687","https://openalex.org/W4399637125"],"related_works":["https://openalex.org/W4300104397","https://openalex.org/W2798701209","https://openalex.org/W2912776266","https://openalex.org/W4236496007","https://openalex.org/W1539030525","https://openalex.org/W4237346635","https://openalex.org/W1572610764","https://openalex.org/W2568280491","https://openalex.org/W2963953154","https://openalex.org/W2116853241"],"abstract_inverted_index":{"Residual":[0],"diagnostics":[1],"is":[2,11,20,30],"an":[3],"important":[4],"topic":[5],"in":[6,15,55,84],"the":[7,18,26,64,79,82],"classroom,":[8],"but":[9],"it":[10],"less":[12],"often":[13],"used":[14],"practice":[16],"when":[17],"response":[19],"binary":[21],"or":[22],"ordinal.":[23],"Part":[24],"of":[25,74,81,86],"reason":[27],"for":[28,34],"this":[29,60],"that":[31,49],"generalized":[32],"models":[33,40],"discrete":[35],"data,":[36],"like":[37],"cumulative":[38,87],"link":[39,88,96],"and":[41,100],"logistic":[42],"regression,":[43],"do":[44],"not":[45],"produce":[46],"standard":[47],"residuals":[48],"are":[50],"easily":[51],"interpreted":[52],"as":[53],"those":[54],"ordinary":[56],"linear":[57],"regression.":[58],"In":[59],"paper,":[61],"we":[62],"introduce":[63],"R":[65],"package":[66,83],"sure,":[67],"which":[68],"implements":[69],"a":[70],"recently":[71],"developed":[72],"idea":[73],"SUrrogate":[75],"REsiduals.":[76],"We":[77],"demonstrate":[78],"utility":[80],"detection":[85],"model":[89],"misspecification":[90],"with":[91],"respect":[92],"to":[93],"mean":[94],"structures,":[95],"functions,":[97],"heteroscedasticity,":[98],"proportionality,":[99],"interaction":[101],"effects.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}