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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 |
| DOI: | 10.32614/CRAN.package.evclass |
| 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 |
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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.