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RMOA: Connect R with MOA for Massive Online Analysis

Connect R with MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>) to build classification models and regression models on streaming data or out-of-RAM data. Also streaming recommendation models are made available.

Version: 1.1.0
Depends: RMOAjars (≥ 1.0), rJava (≥ 0.6-3), methods
Suggests: ff, recommenderlab
Published: 2022-07-17
DOI: 10.32614/CRAN.package.RMOA
Author: Jan Wijffels [aut, cre], BNOSAC [cph]
Maintainer: Jan Wijffels <jwijffels at bnosac.be>
License: GPL-3
Copyright: Code is Copyright (C) Jan Wijffels and BNOSAC
URL: http://www.bnosac.be, https://github.com/jwijffels/RMOA, https://moa.cms.waikato.ac.nz/
NeedsCompilation: no
SystemRequirements: Java (>= 5.0)
Citation: RMOA citation info
Materials: NEWS
CRAN checks: RMOA results

Documentation:

Reference manual: RMOA.pdf
Vignettes: R interface to MOA for data stream mining

Downloads:

Package source: RMOA_1.1.0.tar.gz
Windows binaries: r-devel: RMOA_1.1.0.zip, r-release: RMOA_1.1.0.zip, r-oldrel: RMOA_1.1.0.zip
macOS binaries: r-release (arm64): RMOA_1.1.0.tgz, r-oldrel (arm64): RMOA_1.1.0.tgz, r-release (x86_64): RMOA_1.1.0.tgz, r-oldrel (x86_64): RMOA_1.1.0.tgz
Old sources: RMOA archive

Reverse dependencies:

Reverse suggests: streamMOA

Linking:

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