{"id":"https://openalex.org/W7224093280","doi":"https://doi.org/10.32614/cran.package.rasbound","title":"RASbound: Bounded RAS / Biproportional Matrix Balancing with Cell-Level Constraints","display_name":"RASbound: Bounded RAS / Biproportional Matrix Balancing with Cell-Level Constraints","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224093280","doi":"https://doi.org/10.32614/cran.package.rasbound"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.rasbound","doi":"https://doi.org/10.32614/cran.package.rasbound","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.rasbound","pdf_url":"https://cran.r-project.org/web/packages/RASbound/RASbound.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://cran.r-project.org/web/packages/RASbound/RASbound.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005843838","display_name":"Jos\u00e9 M. Pav\u00eda","orcid":"https://orcid.org/0000-0002-0129-726X","observed_orcids":["https://orcid.org/0000-0002-0129-726X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jose M. Pav\u00eda","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0129-726X","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5005843838"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.2290000021457672,"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"}},"topics":[{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.2290000021457672,"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.20229999721050262,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.1680999994277954,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/ras-method","display_name":"RAS method","score":0.949999988079071},{"id":"https://openalex.org/keywords/iterative-proportional-fitting","display_name":"iterative proportional fitting","score":0.9750000238418579},{"id":"https://openalex.org/keywords/raking","display_name":"raking","score":0.9309999942779541},{"id":"https://openalex.org/keywords/cell-freezing","display_name":"cell freezing","score":0.5759999752044678},{"id":"https://openalex.org/keywords/survey-calibration","display_name":"survey calibration","score":0.4650000035762787},{"id":"https://openalex.org/keywords/input-output-tables","display_name":"input-output tables","score":0.9049999713897705},{"id":"https://openalex.org/keywords/social-accounting-matrices","display_name":"social accounting matrix","score":0.9610000252723694}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6351000070571899},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4377000033855438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42590001225471497},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2955999970436096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2892000079154968},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2635999917984009}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.rasbound","doi":"https://doi.org/10.32614/cran.package.rasbound","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.rasbound","pdf_url":"https://cran.r-project.org/web/packages/RASbound/RASbound.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.32614/cran.package.rasbound","doi":"https://doi.org/10.32614/cran.package.rasbound","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.rasbound","pdf_url":"https://cran.r-project.org/web/packages/RASbound/RASbound.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224093280.pdf","grobid_xml":"https://content.openalex.org/works/W7224093280.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2029420412","https://openalex.org/W2041200573"],"related_works":["https://openalex.org/W2728090865","https://openalex.org/W2914928406","https://openalex.org/W4238465076","https://openalex.org/W2026264626","https://openalex.org/W7219067873","https://openalex.org/W2285069649","https://openalex.org/W353461683","https://openalex.org/W6983488048","https://openalex.org/W4242096361","https://openalex.org/W4403287140"],"abstract_inverted_index":{"Implements":[0],"the":[1,22,31,40,107],"RAS":[2],"method":[3,41],"for":[4,71,114],"adjusting":[5],"a":[6,16,25,34,93,111],"matrix":[7,17,27,36,49],"to":[8],"match":[9],"target":[10],"row":[11],"and":[12,29,62,89,92,124],"column":[13],"totals.In":[14],"RAS,":[15],"A":[18],"is":[19,44,130],"multiplied":[20],"on":[21,30,65],"left":[23],"by":[24,33],"diagonal":[26,35],"R":[28],"right":[32],"S,":[37],"which":[38],"gives":[39],"its":[42],"name.It":[43],"also":[45],"known":[46],"as":[47],"biproportional":[48],"balancing,":[50],"iterative":[51,90],"proportional":[52],"fitting":[53],"(IPF)":[54],"or":[55,80,116],"raking.The":[56],"package":[57,109],"extends":[58],"it":[59],"with":[60,77,98],"lower":[61],"upper":[63],"bounds":[64],"individual":[66],"cells.Provides":[67],"several":[68],"algorithmic":[69],"variants":[70],"handling":[72],"bound":[73],"violations:":[74],"hard":[75],"cell-freezing":[76],"simultaneous,":[78],"sequential,":[79],"hybrid":[81],"fixation;":[82],"two":[83],"dependency-free":[84],"clamp-and-compensate":[85],"heuristics":[86],"(proportional":[87],"redistribution":[88],"renormalization);":[91],"naive":[94],"unconstrained-recompute":[95],"baseline;":[96],"together":[97],"thin":[99],"wrapper":[100],"functions":[101],"exposing":[102],"equivalent":[103],"bounded-calibration":[104],"methods":[105],"from":[106],"'survey'":[108],"under":[110],"common":[112],"interface.Intended":[113],"updating":[115],"regionalizing":[117],"input-output":[118],"tables,":[119],"social":[120],"accounting":[121],"matrices":[122],"(SAMs),":[123],"other":[125],"applications":[126],"where":[127],"classic":[128],"RAS/IPF":[129],"used":[131],"but":[132],"cell-level":[133],"plausibility":[134],"ranges":[135],"must":[136],"be":[137],"respected.":[138]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-29T00:00:00"}
