The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 lyle.smu.edu>
License: GPL-2
URL: https://github.com/mhahsler/rEMM
NeedsCompilation: no
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_1.2.1.tar.gz
Windows binaries: r-devel: rEMM_1.2.1.zip, r-release: rEMM_1.2.1.zip, r-oldrel: rEMM_1.2.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rEMM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.