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evclass  

Evidential Distance-Based Classification
View on CRAN: Click here


Download and install evclass package within the R console
Install from CRAN:
install.packages("evclass")

Install from Github:
library("remotes")
install_github("cran/evclass")

Install by package version:
library("remotes")
install_version("evclass", "2.0.2")



Attach the package and use:
library("evclass")
Maintained by
Thierry Denoeux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-21
Latest Update: 2023-11-09
Description:
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.
How to cite:
Thierry Denoeux (2016). evclass: Evidential Distance-Based Classification. R package version 2.0.2, https://cran.r-project.org/web/packages/evclass. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:36), 1.0.1 (2016-06-21 17:42), 1.0.2 (2016-06-22 12:25), 1.1.0 (2016-07-01 13:54), 1.1.1 (2017-03-20 06:22), 2.0.0 (2023-01-07 11:00), 2.0.1 (2023-08-14 05:40)
Other packages that cited evclass R package
View evclass citation profile
Other R packages that evclass depends, imports, suggests or enhances
Complete documentation for evclass
Functions, R codes and Examples using the evclass R package
Some associated functions: EkNNfit . EkNNinit . EkNNval . RBFfit . RBFinit . RBFval . calcAB . calcm . decision . evclass . glass . ionosphere . proDSfit . proDSinit . proDSval . vehicles . 
Some associated R codes: EkNNfit.R . EkNNinit.R . EkNNval.R . RBFfit.R . RBFinit.R . RBFval.R . calcAB.R . calcm.R . classds.R . decision.R . evclass.R . foncgradr2n.R . glass-data.R . gradRBF.R . gradientds.R . harris.R . ionosphere-data.R . likRBF.R . optimds.R . proDSfit.R . proDSinit.R . proDSval.R . vehicles-data.R .  Full evclass package functions and examples
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