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
DOI: 10.32614/
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>
License: GPL-3
NeedsCompilation: yes
Citation: stream citation info
Materials: README NEWS
CRAN checks: stream results


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


Package source: stream_2.0-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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