The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Different evidential classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule, the evidential neural network, radial basis function neural networks, logistic regression, feed-forward neural networks.
| Version: | 2.0.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | FNN, ibelief, R.utils |
| Suggests: | knitr, rmarkdown, datasets, stats, nnet |
| Published: | 2023-11-09 |
| Author: | Thierry Denoeux |
| Maintainer: | Thierry Denoeux <tdenoeux at utc.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MachineLearning |
| CRAN checks: | evclass results |
| Reference manual: | evclass.pdf |
| Vignettes: |
Introduction to the evclass package |
| Package source: | evclass_2.0.2.tar.gz |
| Windows binaries: | r-devel: evclass_2.0.2.zip, r-release: evclass_2.0.2.zip, r-oldrel: evclass_2.0.2.zip |
| macOS binaries: | r-release (arm64): evclass_2.0.2.tgz, r-oldrel (arm64): evclass_2.0.2.tgz, r-release (x86_64): evclass_2.0.2.tgz, r-oldrel (x86_64): evclass_2.0.2.tgz |
| Old sources: | evclass archive |
Please use the canonical form https://CRAN.R-project.org/package=evclass 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.
Health stats visible at Monitor.