kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels

dc.date.accessioned	2019-11-29T07:33:56Z
dc.date.available	2019-11-29T07:33:56Z
dc.date.created	2019-11-05T11:26:21Z
dc.date.issued	2019
dc.identifier.citation	Moss, Jonas Tveten, Martin . kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels. Journal of Open Source Software (JOSS). 2019
dc.identifier.uri	http://hdl.handle.net/10852/71048
dc.language	EN
dc.publisher	Open Journals
dc.rights	Attribution 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.title	kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels
dc.type	Journal article
dc.creator.author	Moss, Jonas
dc.creator.author	Tveten, Martin
cristin.unitcode	185,15,13,25
cristin.unitname	Statistikk og Data Science
cristin.ispublished	true
cristin.fulltext	original
cristin.fulltext	postprint
cristin.qualitycode	1
dc.identifier.cristin	1744126
dc.identifier.bibliographiccitation	info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Open Source Software (JOSS)&rft.volume=&rft.spage=&rft.date=2019
dc.identifier.jtitle	Journal of Open Source Software (JOSS)
dc.identifier.doi	http://dx.doi.org/10.21105/joss.01566
dc.identifier.urn	URN:NBN:no-74170
dc.type.document	Tidsskriftartikkel
dc.type.peerreviewed	Peer reviewed
dc.source.issn	2475-9066
dc.identifier.fulltext	Fulltext https://www.duo.uio.no/bitstream/handle/10852/71048/1/10.21105.joss.01566.pdf
dc.type.version	PublishedVersion
dc.relation.project	NFR/237718