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External jars required for package RMOA. RMOA is a framework to build data stream models on top of MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>). The jar files are put in this R package, the modelling logic can be found in the RMOA package.
Version: | 1.2.0 |
Depends: | R (≥ 2.6.0) |
Imports: | rJava (≥ 1.0-1) |
Published: | 2022-07-17 |
DOI: | 10.32614/CRAN.package.RMOAjars |
Author: | See file AUTHORS RMOAjars author details |
Maintainer: | Jan Wijffels <jwijffels at bnosac.be> |
License: | GPL-3 |
Copyright: | See file COPYRIGHTS RMOAjars copyright details |
URL: | https://moa.cms.waikato.ac.nz/, https://github.com/jwijffels/RMOA |
NeedsCompilation: | no |
SystemRequirements: | Java (>= 5.0) |
Materials: | NEWS |
CRAN checks: | RMOAjars results |
Reference manual: | RMOAjars.pdf |
Vignettes: |
R interface to MOA for data stream mining |
Package source: | RMOAjars_1.2.0.tar.gz |
Windows binaries: | r-devel: RMOAjars_1.2.0.zip, r-release: RMOAjars_1.2.0.zip, r-oldrel: RMOAjars_1.2.0.zip |
macOS binaries: | r-release (arm64): RMOAjars_1.2.0.tgz, r-oldrel (arm64): RMOAjars_1.2.0.tgz, r-release (x86_64): RMOAjars_1.2.0.tgz, r-oldrel (x86_64): RMOAjars_1.2.0.tgz |
Old sources: | RMOAjars archive |
Reverse depends: | RMOA |
Please use the canonical form https://CRAN.R-project.org/package=RMOAjars 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.