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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 
[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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=rEMM
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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.
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