Image analysis and statistical inference in neuroimaging with R

dc.bibliographicCitation.seriesTitleWIAS Preprintseng
dc.bibliographicCitation.volume1578
dc.contributor.authorTabelow, Karsten
dc.contributor.authorClayden, Jon D.
dc.contributor.authorLafaye de Micheaux, Pierre
dc.contributor.authorPolzehl, Jörg
dc.contributor.authorSchmid, Volker J.
dc.contributor.authorWhitcher, Brandon
dc.date.accessioned2016-03-24T17:39:02Z
dc.date.available2019-06-28T08:08:24Z
dc.date.issued2010
dc.description.abstractR is a language and environment for statistical computing and graphics. It can be considered an alternative implementation of the S language developed in the 1970s and 1980s for data analysis and graphics (Becker and Chambers, 1984; Becker et al., 1988). The R language is part of the GNU project and offers versions that compile and run on almost every major operating system currently available. We highlight several R packages built specifically for the analysis of neuroimaging data in the context of functional MRI, diffusion tensor imaging, and dynamic contrast-enhanced MRI. We review their methodology and give an overview of their capabilities for neuroimaging. In addition we summarize some of the current activities in the area of neuroimaging software development in R.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.identifier.issn0946-8633
dc.identifier.urihttps://doi.org/10.34657/2529
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/2579
dc.language.isoengeng
dc.publisherBerlin : Weierstraß-Institut für Angewandte Analysis und Stochastikeng
dc.relation.issn0946-8633eng
dc.rights.licenseThis document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.eng
dc.rights.licenseDieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.ger
dc.subject.ddc510eng
dc.subject.otherDiffusion weighted imagingeng
dc.subject.otherfunctional magnetic resonance imagingeng
dc.subject.otherdynamic contrastenhanced magnetic resonance imagingeng
dc.subject.othercomputational neuroscienceeng
dc.titleImage analysis and statistical inference in neuroimaging with Reng
dc.typeReporteng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorWIASeng
wgl.subjectMathematikeng
wgl.typeReport / Forschungsbericht / Arbeitspapiereng
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