The R Package stagedtrees for Structural Learning of Stratified Staged Trees

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dc.contributor.authorLeonelli, Manuele
dc.contributor.authorCarli, Federico
dc.contributor.authorRiccomagno, Eva
dc.contributor.authorVarando, Gherardo
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2025-04-01T10:31:00Z
dc.date.available2025-04-01T10:31:00Z
dc.date.issued2022-04
dc.description.abstractStagedtrees is an R package which includes several algorithms for learning the structure of staged trees and chain event graphs from data. Score-based and clustering-based algorithms are implemented, as well as various functionalities to plot the models and perform inference. The capabilities of stagedtrees are illustrated using mainly two datasets both included in the package or bundled in R
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationCarli, F., Leonelli, M., Riccomagno, E., & Varando, G. (2022). The R Package stagedtrees for Structural Learning of Stratified Staged Trees. Journal of Statistical Software, 102(6), 1–30. https://doi.org/10.18637/jss.v102.i06
dc.identifier.doihttps://doi.org/10.18637/jss.v102.i06
dc.identifier.issn1548-7660
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3679
dc.issue.number6
dc.journal.titleJournal of Statistical Software
dc.language.isoen
dc.page.final30
dc.page.initial1
dc.page.total30
dc.publisherStratified Staged Trees
dc.relation.departmentComputer Science & AI
dc.relation.entityIE University
dc.relation.schoolIE School of Science & Technology
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed
dc.subject.keywordChain event graphs
dc.subject.keywordGraphical models
dc.subject.keywordR
dc.subject.keywordStaged trees
dc.subject.keywordStructure learning algorithms
dc.titleThe R Package stagedtrees for Structural Learning of Stratified Staged Trees
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number102
dspace.entity.typePublication
relation.isAuthorOfPublicationbc86b9eb-18b3-4fab-bf14-ad6f5509312f
relation.isAuthorOfPublication.latestForDiscoverybc86b9eb-18b3-4fab-bf14-ad6f5509312f

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