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stream: Infrastructure for Data Stream Mining

A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.

Version: 2.0-2
Depends: R (≥ 3.5.0), methods, magrittr
Imports: clue, cluster, clusterGeneration, dbscan (≥ 1.0-0), fpc, graphics, grDevices, MASS, mlbench, rpart, Rcpp (≥ 0.11.4), stats, utils, proxy (≥ 0.4-7)
LinkingTo: Rcpp, BH
Suggests: animation, DBI, dplyr, rJava, RSQLite, testthat, knitr
Published: 2024-04-21
Author: Michael Hahsler ORCID iD [aut, cre, cph], Matthew Bolaños [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleža [ctb]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/mhahsler/stream/issues
License: GPL-3
URL: https://github.com/mhahsler/stream
NeedsCompilation: yes
Citation: stream citation info
Materials: README NEWS
CRAN checks: stream results

Documentation:

Reference manual: stream.pdf
Vignettes: stream: Extending the stream Framework
stream: Introduction to the package

Downloads:

Package source: stream_2.0-2.tar.gz
Windows binaries: r-devel: stream_2.0-2.zip, r-release: stream_2.0-2.zip, r-oldrel: stream_2.0-2.zip
macOS binaries: r-release (arm64): stream_2.0-2.tgz, r-oldrel (arm64): stream_2.0-2.tgz, r-release (x86_64): stream_2.0-2.tgz, r-oldrel (x86_64): stream_2.0-2.tgz
Old sources: stream archive

Reverse dependencies:

Reverse depends: streamMOA
Reverse imports: rEMM
Reverse suggests: otsad

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stream 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.
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