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.

Version: 1.0-10
Depends: R (≥ 2.10.0), proxy (≥ 0.4-7), igraph
Imports: methods, stats, clusterGeneration, MASS, utils
Suggests: graph, Rgraphviz, testthat
Published: 2015-07-02
Author: Michael Hahsler [aut, cre, cph], Margaret H. Dunham [aut, cph]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
License: GPL-2
URL: http://lyle.smu.edu/IDA/TRACDS/
NeedsCompilation: yes
Classification/ACM: G.4, H.2.8, I.5.1
Citation: rEMM citation info
Materials: NEWS
CRAN checks: rEMM results

Downloads:

Reference manual: rEMM.pdf
Vignettes: Extensible Markov Model for data stream clustering
Package source: rEMM_1.0-10.tar.gz
Windows binaries: r-devel: rEMM_1.0-9.zip, r-release: rEMM_1.0-9.zip, r-oldrel: rEMM_1.0-10.zip
OS X Snow Leopard binaries: r-oldrel: rEMM_1.0-9.tgz
OS X Mavericks binaries: r-release: rEMM_1.0-9.tgz
Old sources: rEMM archive