rEMM: Extensible Markov Model for Modelling Temporal Relationships Between Clusters

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) <doi:10.18637/jss.v035.i05>.

Version: 1.2.1
Depends: R (≥ 2.10.0)
Imports: methods, stats, stream, cluster, clusterGeneration, MASS, utils, proxy, igraph
Suggests: graph, Rgraphviz, testthat
Published: 2024-04-21
DOI: 10.32614/CRAN.package.rEMM
Author: Michael Hahsler ORCID iD [aut, cre, cph], Margaret H. Dunham [ctb]
Maintainer: Michael Hahsler <mhahsler at>
License: GPL-2
NeedsCompilation: no
Classification/ACM: G.4, H.2.8, I.5.1
Citation: rEMM citation info
Materials: README NEWS
CRAN checks: rEMM results


Reference manual: rEMM.pdf
Vignettes: Extensible Markov Model for data stream clustering


Package source: rEMM_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rEMM_1.2.1.tgz, r-oldrel (arm64): rEMM_1.2.1.tgz, r-release (x86_64): rEMM_1.2.1.tgz, r-oldrel (x86_64): rEMM_1.2.1.tgz
Old sources: rEMM archive


Please use the canonical form to link to this page.