Transductive and Inductive Conformal Predictions for Classification Problems

Documentation for package ‘conformalClassification’ version 1.0.0

conformalClassification-package	A Conformal Prediction R Package for Classification
conformalClassification	A Conformal Prediction R Package for Classification
CPCalibrationPlot	Plots the calibration plot
CPEfficiency	Computes efficiency of a conformal predictor, which is defined as the ratio of predictions with more than one class over the size of the testset
CPErrorRate	Computes error rate of a conformal predictor, which is defined as the ratio of predictions with missing true class lables over the size of the testset
CPObsFuzziness	Computes observed fuzziness, which is defined as the sum of all p-values for the incorrect class labels.
CPValidity	Computes the deviation from exact validity as the Euclidean norm of the difference of the observed error and the expected error
fitModel	Fits the model and returns the fitted model
ICPClassification	Class-conditional Inductive conformal classifier for multi-class problems
parTCPClassification	Class-conditional transductive conformal classifier for multi-class problems, paralled computations
TCPClassification	Class-conditional transductive conformal classifier for multi-class problems
tcpPValues	Fits the model and computes p-values