# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rEMM" in publications use:' type: software license: GPL-2.0-only title: 'rEMM: Extensible Markov Model for Modelling Temporal Relationships Between Clusters' version: 1.2.1 identifiers: - type: doi value: 10.32614/CRAN.package.rEMM abstract: Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) . authors: - family-names: Hahsler given-names: Michael email: mhahsler@lyle.smu.edu orcid: https://orcid.org/0000-0003-2716-1405 preferred-citation: type: manual title: 'rEMM: Extensible Markov Model for Modelling Temporal Relationships Between Clusters' authors: - family-names: Hahsler given-names: Michael email: mhahsler@lyle.smu.edu orcid: https://orcid.org/0000-0003-2716-1405 year: '2024' notes: R package version 1.2.1 url: https://github.com/mhahsler/rEMM repository: https://mhahsler.r-universe.dev repository-code: https://github.com/mhahsler/rEMM commit: a9c599d472236c50f777f24b9fde4b9c1b0b73ab url: https://github.com/mhahsler/rEMM date-released: '2024-04-21' contact: - family-names: Hahsler given-names: Michael email: mhahsler@lyle.smu.edu orcid: https://orcid.org/0000-0003-2716-1405 references: - type: article title: 'rEMM: Extensible Markov Model for Data Stream Clustering in R' authors: - family-names: Hahsler given-names: Michael email: mhahsler@lyle.smu.edu orcid: https://orcid.org/0000-0003-2716-1405 - family-names: Dunham given-names: Margaret H. journal: Journal of Statistical Software year: '2010' volume: '35' issue: '5' doi: 10.18637/jss.v035.i05 issn: 1548-7660 start: '1' end: '31'