stream: Infrastructure for Data Stream Mining (original) (raw)
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:
Suggests:
animation, DBI, dplyr, rJava, RSQLite, testthat, knitr
Published:
2024-04-21
DOI:
Author:
Michael Hahsler [aut, cre, cph], Matthew Bolaños [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleža [ctb]
Maintainer:
Michael Hahsler
BugReports:
https://github.com/mhahsler/stream/issues
License:
URL:
https://github.com/mhahsler/stream
NeedsCompilation:
yes
Citation:
Materials:
CRAN checks: