{"id":"https://openalex.org/W4388213054","doi":"https://doi.org/10.32614/rj-2023-029","title":"rankFD: An R Software Package for Nonparametric Analysis of General Factorial Designs","display_name":"rankFD: An R Software Package for Nonparametric Analysis of General Factorial Designs","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4388213054","doi":"https://doi.org/10.32614/rj-2023-029"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2023-029","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2023-029","pdf_url":"https://journal.r-project.org/articles/RJ-2023-029/RJ-2023-029.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/articles/RJ-2023-029/RJ-2023-029.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004526564","display_name":"Frank Konietschke","orcid":"https://orcid.org/0000-0002-5674-2076"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Konietschke","raw_affiliation_strings":["Charit\u00e9 Universit\u00e4tsmedizin Berlin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charit\u00e9 Universit\u00e4tsmedizin Berlin","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015346778","display_name":"Edgar Brunner","orcid":"https://orcid.org/0000-0001-7119-8622"},"institutions":[{"id":"https://openalex.org/I4210116730","display_name":"Universit\u00e4tsmedizin G\u00f6ttingen","ror":"https://ror.org/021ft0n22","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210116730"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Edgar Brunner","raw_affiliation_strings":["University Medical School G\u00f6ttingen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Medical School G\u00f6ttingen","institution_ids":["https://openalex.org/I4210116730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6888,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90539516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"142","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.954200029373169,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.954200029373169,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.901179313659668},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.741085410118103},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6659343242645264},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.636397659778595},{"id":"https://openalex.org/keywords/factorial","display_name":"Factorial","score":0.6235631108283997},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5840851664543152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5798823237419128},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5499696731567383},{"id":"https://openalex.org/keywords/factorial-experiment","display_name":"Factorial experiment","score":0.5057854652404785},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.46133172512054443},{"id":"https://openalex.org/keywords/software-package","display_name":"Software package","score":0.4522734582424164},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.4112658202648163},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.39651721715927124},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3717605471611023},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2915894389152527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26592960953712463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24685075879096985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19212880730628967},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1081339418888092}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.901179313659668},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.741085410118103},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6659343242645264},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.636397659778595},{"id":"https://openalex.org/C183763347","wikidata":"https://www.wikidata.org/wiki/Q120976","display_name":"Factorial","level":2,"score":0.6235631108283997},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5840851664543152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5798823237419128},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5499696731567383},{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.5057854652404785},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.46133172512054443},{"id":"https://openalex.org/C3020440742","wikidata":"https://www.wikidata.org/wiki/Q1176855","display_name":"Software package","level":3,"score":0.4522734582424164},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.4112658202648163},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.39651721715927124},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3717605471611023},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2915894389152527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26592960953712463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24685075879096985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19212880730628967},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1081339418888092},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.32614/rj-2023-029","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2023-029","pdf_url":"https://journal.r-project.org/articles/RJ-2023-029/RJ-2023-029.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"},{"id":"pmh:oai:publications.goettingen-research-online.de:2/161230","is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/155369","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.32614/rj-2023-029","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2023-029","pdf_url":"https://journal.r-project.org/articles/RJ-2023-029/RJ-2023-029.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":[],"awards":[{"id":"https://openalex.org/G7562897185","display_name":null,"funder_award_id":"KO 4680/4-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388213054.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W74294040","https://openalex.org/W1885265136","https://openalex.org/W1966770772","https://openalex.org/W1972978214","https://openalex.org/W1979820427","https://openalex.org/W1983439863","https://openalex.org/W1988076649","https://openalex.org/W1990347758","https://openalex.org/W2012757283","https://openalex.org/W2017981532","https://openalex.org/W2020800417","https://openalex.org/W2024421418","https://openalex.org/W2027246170","https://openalex.org/W2034835785","https://openalex.org/W2041282815","https://openalex.org/W2047134830","https://openalex.org/W2058803495","https://openalex.org/W2063456204","https://openalex.org/W2073502055","https://openalex.org/W2077636683","https://openalex.org/W2079433838","https://openalex.org/W2089013935","https://openalex.org/W2093241663","https://openalex.org/W2139690082","https://openalex.org/W2159267296","https://openalex.org/W2171038022","https://openalex.org/W2435544189","https://openalex.org/W2506625245","https://openalex.org/W2626920486","https://openalex.org/W2793036949","https://openalex.org/W2905019236","https://openalex.org/W2934210640","https://openalex.org/W2960131859","https://openalex.org/W2963555185","https://openalex.org/W2998668315","https://openalex.org/W3095930198","https://openalex.org/W3109723686","https://openalex.org/W3125257273","https://openalex.org/W3196646869","https://openalex.org/W4231714144","https://openalex.org/W4234852877","https://openalex.org/W4240210249","https://openalex.org/W4243833591","https://openalex.org/W4244251768","https://openalex.org/W4244710689","https://openalex.org/W4246724958","https://openalex.org/W4247128285","https://openalex.org/W4253233397","https://openalex.org/W4253778404","https://openalex.org/W4299588378","https://openalex.org/W4388619051","https://openalex.org/W4399581684","https://openalex.org/W6685177967","https://openalex.org/W6761719051","https://openalex.org/W6982009036","https://openalex.org/W7021334973"],"related_works":["https://openalex.org/W4389426664","https://openalex.org/W2566205467","https://openalex.org/W3012616639","https://openalex.org/W3126000805","https://openalex.org/W3198565742","https://openalex.org/W2010064959","https://openalex.org/W2157390150","https://openalex.org/W2119742499","https://openalex.org/W1985266044","https://openalex.org/W4387011503"],"abstract_inverted_index":{"Many":[0],"experiments":[1],"can":[2],"be":[3,56,75],"modeled":[4],"by":[5,93,107],"a":[6,46,70,97],"factorial":[7,126],"design":[8],"which":[9],"allows":[10],"statistical":[11],"analysis":[12,124],"of":[13,21,35,61,69,84,96,116,125,139],"main":[14],"factors":[15],"and":[16,33,52],"their":[17],"interactions.":[18],"A":[19],"plethora":[20],"parametric":[22,47],"inference":[23],"procedures":[24],"have":[25],"been":[26,91,105],"developed,":[27],"for":[28,122],"instance":[29],"based":[30],"on":[31],"normality":[32],"additivity":[34],"the":[36,67,81,94,108,117,123,140],"effects.":[37],"However,":[38],"often,":[39],"it":[40],"is":[41],"not":[42,55],"reasonable":[43],"to":[44],"assume":[45],"model,":[48],"or":[49],"even":[50],"normality,":[51],"effects":[53],"may":[54,74],"expressed":[57],"well":[58],"in":[59,87],"terms":[60],"location":[62],"shifts.":[63],"In":[64,128],"these":[65],"situations,":[66],"use":[68],"fully":[71],"nonparametric":[72,85,119],"model":[73],"advisable.":[76],"Nevertheless,":[77],"until":[78],"very":[79],"recently,":[80],"straightforward":[82],"application":[83],"methods":[86,121],"complex":[88],"designs":[89],"has":[90,103],"hampered":[92],"lack":[95],"comprehensive":[98],"R":[99],"package.":[100],"This":[101],"gap":[102],"now":[104],"closed":[106],"novel":[109],"R-package":[110],"[rankFD](https://CRAN.R-project.org/package=rankFD)":[111],"that":[112],"implements":[113],"current":[114],"state":[115],"art":[118],"ranking":[120],"designs.":[127],"this":[129],"paper,":[130],"we":[131],"describe":[132],"its":[133],"use,":[134],"along":[135],"with":[136],"detailed":[137],"interpretations":[138],"results.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}