Evidential Distance-Based Classification

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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