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: 1.2.0
Depends: R (≥ 2.10.0), proxy (≥ 0.4-7), igraph
Imports: methods, stats, stream, cluster, clusterGeneration, MASS, utils
Suggests: graph, Rgraphviz, testthat
Published: 2022-06-25
Author: Michael Hahsler ORCID iD [aut, cre, cph], Margaret H. Dunham [ctb]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
License: GPL-2
URL: https://github.com/mhahsler/rEMM
NeedsCompilation: yes
Classification/ACM: G.4, H.2.8, I.5.1
Citation: rEMM citation info
Materials: README NEWS
CRAN checks: rEMM results

Documentation:

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

Downloads:

Package source: rEMM_1.2.0.tar.gz
Windows binaries: r-devel: rEMM_1.2.0.zip, r-release: rEMM_1.2.0.zip, r-oldrel: rEMM_1.2.0.zip
macOS binaries: r-release (arm64): rEMM_1.2.0.tgz, r-oldrel (arm64): rEMM_1.2.0.tgz, r-release (x86_64): rEMM_1.2.0.tgz
Old sources: rEMM archive

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