{"id":"https://openalex.org/W4399569879","doi":"https://doi.org/10.32614/cran.package.mashr","title":"mashr: Multivariate Adaptive Shrinkage","display_name":"mashr: Multivariate Adaptive Shrinkage","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W4399569879","doi":"https://doi.org/10.32614/cran.package.mashr"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.mashr","doi":"https://doi.org/10.32614/cran.package.mashr","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.mashr","pdf_url":"https://cran.r-project.org/web/packages/mashr/mashr.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","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://cran.r-project.org/web/packages/mashr/mashr.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036504609","display_name":"Matthew Stephens","orcid":"https://orcid.org/0000-0001-5397-9257","observed_orcids":["https://orcid.org/0000-0001-5397-9257"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Stephens","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062644419","display_name":"Sarah Urbut","orcid":"https://orcid.org/0000-0002-1135-9647","observed_orcids":["https://orcid.org/0000-0002-1135-9647"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarah Urbut","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648728","display_name":"Gao T. Wang","orcid":"https://orcid.org/0000-0001-9336-402X","observed_orcids":["https://orcid.org/0000-0001-9336-402X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046051048","display_name":"Yuxin Zou","orcid":"https://orcid.org/0000-0001-9816-5847","observed_orcids":["https://orcid.org/0000-0001-9816-5847"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxin Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061140470","display_name":"Peter S. Carbonetto","orcid":"https://orcid.org/0000-0003-1144-6780","observed_orcids":["https://orcid.org/0000-0003-1144-6780"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Carbonetto","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":null,"has_fulltext":true,"cited_by_count":1,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.5127000212669373,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.5127000212669373,"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/T10136","display_name":"Statistical Methods and Inference","score":0.28130000829696655,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.04170000180602074,"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/empirical-bayes","display_name":"empirical Bayes","score":0.8539999723434448},{"id":"https://openalex.org/keywords/effect-estimation","display_name":"effect estimation","score":0.753000020980835},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.9700000286102295},{"id":"https://openalex.org/keywords/large-scale-inference","display_name":"large-scale inference","score":0.48500001430511475},{"id":"https://openalex.org/keywords/posterior-computation","display_name":"posterior computation","score":0.5950000286102295},{"id":"https://openalex.org/keywords/c-implementation","display_name":"C++ implementation","score":0.5170000195503235}],"concepts":[{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.9103136658668518},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6843497157096863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3037174940109253},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27375921607017517}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.mashr","doi":"https://doi.org/10.32614/cran.package.mashr","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.mashr","pdf_url":"https://cran.r-project.org/web/packages/mashr/mashr.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.mashr","doi":"https://doi.org/10.32614/cran.package.mashr","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/cran.package.mashr","pdf_url":"https://cran.r-project.org/web/packages/mashr/mashr.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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399569879.pdf","grobid_xml":"https://content.openalex.org/works/W4399569879.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2951079876"],"related_works":["https://openalex.org/W3110592964","https://openalex.org/W7118999168","https://openalex.org/W4399695288","https://openalex.org/W3089146608","https://openalex.org/W4399538556","https://openalex.org/W3092752073","https://openalex.org/W3094142173","https://openalex.org/W6960393593","https://openalex.org/W7167484085","https://openalex.org/W7133299247"],"abstract_inverted_index":{"Implements":[0],"the":[1,53],"multivariate":[2],"adaptive":[3],"shrinkage":[4],"(mash)":[5],"method":[6],"of":[7,19,41,52],"Urbut":[8],"et":[9],"al":[10],"(2019)":[11],"<doi:10.1038/s41588-018-0268-8>":[12],"for":[13,64],"estimating":[14],"and":[15,35,68],"testing":[16,34],"large":[17],"numbers":[18],"effects":[20],"in":[21,62],"many":[22,25],"conditions":[23],"(or":[24],"outcomes).":[26],"Mash":[27],"takes":[28],"an":[29],"empirical":[30],"Bayes":[31],"approach":[32],"to":[33,49],"effect":[36,54],"estimation;":[37],"it":[38],"estimates":[39],"patterns":[40,48],"similarity":[42],"among":[43],"conditions,":[44],"then":[45],"exploits":[46],"these":[47],"improve":[50],"accuracy":[51],"estimates.":[55],"The":[56],"core":[57],"linear":[58],"algebra":[59],"is":[60],"implemented":[61],"C++":[63],"fast":[65],"model":[66],"fitting":[67],"posterior":[69],"computation.":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2024-06-13T00:00:00"}