Package: evclass 2.0.2

Thierry Denoeux

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.

Authors:Thierry Denoeux

evclass_2.0.2.tar.gz
evclass_2.0.2.tar.gz(r-4.5-noble)evclass_2.0.2.tar.gz(r-4.4-noble)
evclass_2.0.2.tgz(r-4.4-emscripten)evclass_2.0.2.tgz(r-4.3-emscripten)
evclass.pdf |evclass.html
evclass/json (API)
NEWS

# Install 'evclass' in R:
install.packages('evclass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.23 score 1 stars 17 scripts 296 downloads 1 mentions 12 exports 5 dependencies

Last updated 1 years agofrom:636c59c083. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linuxOKDec 03 2024

Exports:calcABcalcmdecisionEkNNfitEkNNinitEkNNvalproDSfitproDSinitproDSvalRBFfitRBFinitRBFval

Dependencies:FNNibeliefR.methodsS3R.ooR.utils

Introduction to the evclass package

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Dec 03 2024.

Last update: 2023-01-07
Started: 2016-06-21