{"id":"https://openalex.org/W2775056555","doi":"https://doi.org/10.32614/rj-2017-009","title":"imputeTS: Time Series Missing Value Imputation in R","display_name":"imputeTS: Time Series Missing Value Imputation in R","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2775056555","doi":"https://doi.org/10.32614/rj-2017-009","mag":"2775056555"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2017-009","pdf_url":"https://journal.r-project.org/archive/2017/RJ-2017-009/RJ-2017-009.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_indexed_in_scopus":true,"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://journal.r-project.org/archive/2017/RJ-2017-009/RJ-2017-009.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005957346","display_name":"Steffen M\u00f6ritz","orcid":"https://orcid.org/0000-0002-0085-1804"},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Moritz","raw_affiliation_strings":["Cologne University of Applied Sciences Cologne, Germany"],"affiliations":[{"raw_affiliation_string":"Cologne University of Applied Sciences Cologne, Germany","institution_ids":["https://openalex.org/I102520234","https://openalex.org/I102520234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020539256","display_name":"Thomas Bartz\u2013Beielstein","orcid":"https://orcid.org/0000-0002-5938-5158"},"institutions":[{"id":"https://openalex.org/I102520234","display_name":"TH K\u00f6ln - University of Applied Sciences","ror":"https://ror.org/014nnvj65","country_code":"DE","type":"education","lineage":["https://openalex.org/I102520234"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Bartz-Beielstein","raw_affiliation_strings":["Cologne University of Applied Sciences Cologne, Germany"],"affiliations":[{"raw_affiliation_string":"Cologne University of Applied Sciences Cologne, Germany","institution_ids":["https://openalex.org/I102520234","https://openalex.org/I102520234"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":32.424,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":767,"citation_normalized_percentile":{"value":0.999823,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"1","first_page":"207","last_page":"207"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9943,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9943,"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/T13398","display_name":"Data Analysis with R","score":0.994,"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"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9928,"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/imputation","display_name":"Imputation (statistics)","score":0.7969394},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4149241}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7969394},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6059935},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.58340824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47980884},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4149241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36781543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36109102},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32594597},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1554462},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2017-009","pdf_url":"https://journal.r-project.org/archive/2017/RJ-2017-009/RJ-2017-009.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_indexed_in_scopus":true,"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2017-009","pdf_url":"https://journal.r-project.org/archive/2017/RJ-2017-009/RJ-2017-009.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_indexed_in_scopus":true,"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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1730150177","https://openalex.org/W1822348759","https://openalex.org/W1832367887","https://openalex.org/W1969289662","https://openalex.org/W2049633694","https://openalex.org/W2054599015","https://openalex.org/W2081050569","https://openalex.org/W2115098571","https://openalex.org/W2118502261","https://openalex.org/W2329290504","https://openalex.org/W2534722177","https://openalex.org/W2802525914","https://openalex.org/W2811189031","https://openalex.org/W4292483811","https://openalex.org/W4297796805","https://openalex.org/W4399586625","https://openalex.org/W4399635593"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3179858851","https://openalex.org/W3144172081","https://openalex.org/W3123177881","https://openalex.org/W3028371478","https://openalex.org/W2581984549","https://openalex.org/W2181530120","https://openalex.org/W2081476516","https://openalex.org/W2024529227","https://openalex.org/W1574575415"],"abstract_inverted_index":{"The":[0],"imputeTS":[1,84],"package":[2,85],"specializes":[3],"on":[4,64],"univariate":[5,46,68,98],"time":[6,20,47,69,76,99],"series":[7,21,48,70,100],"imputation.It":[8],"offers":[9],"multiple":[10],"state-of-the-art":[11],"imputation":[12,25,61,71,101],"algorithm":[13],"implementations":[14],"along":[15],"with":[16],"plotting":[17],"functions":[18],"for":[19,53],"missing":[22,43],"data":[23],"statistics.While":[24],"in":[26,45,56,102],"general":[27],"is":[28,49],"a":[29,94],"well-known":[30],"problem":[31],"and":[32,86,90],"widely":[33],"covered":[34],"by":[35],"R":[36],"packages,":[37],"finding":[38],"packages":[39],"able":[40],"to":[41,74,82],"fill":[42],"values":[44],"more":[50],"complicated.The":[51],"reason":[52],"this":[54],"lies":[55],"the":[57,83],"fact,":[58],"that":[59],"most":[60],"algorithms":[62,89],"rely":[63],"inter-attribute":[65],"correlations,":[66],"while":[67],"instead":[72],"needs":[73],"employ":[75],"dependencies.This":[77],"paper":[78],"provides":[79],"an":[80],"introduction":[81],"its":[87],"provided":[88],"tools.Furthermore,":[91],"it":[92],"gives":[93],"short":[95],"overview":[96],"about":[97],"R.":[103]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2775056555","counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":129},{"year":2023,"cited_by_count":136},{"year":2022,"cited_by_count":136},{"year":2021,"cited_by_count":159},{"year":2020,"cited_by_count":107},{"year":2019,"cited_by_count":54},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-03-25T01:57:51.873790","created_date":"2017-12-22"}