R: Evidential Distance-Based Classification

# Evidential Distance-Based Classification

## Documentation for package ‘evclass’ version 2.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

calcAB | Determination of optimal coefficients for computing weights of evidence in logistic regression
calcm | Determination of optimal coefficients for computing weights of evidence in logistic regression
decision | Decision rules for evidential classifiers
EkNNfit | Training of the EkNN classifier
EkNNinit | Initialization of parameters for the EkNN classifier
EkNNval | Classification of a test set by the EkNN classifier
evclass | evclass: A package for evidential classification
glass | Glass dataset
ionosphere | Ionosphere dataset
proDSfit | Training of the evidential neural network classifier
proDSinit | Initialization of parameters for the evidential neural network classifier
proDSval | Classification of a test set by the evidential neural network classifier
RBFfit | Training of a radial basis function classifier
RBFinit | Initialization of parameters for a Radial Basis Function classifier
RBFval | Classification of a test set by a radial basis function classifier
vehicles | Vehicles dataset