evclass: Evidential Distance-Based Classification

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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