R: Transductive and Inductive Conformal Predictions for Classification Problems

# Transductive and Inductive Conformal Predictions for Classification Problems

## Documentation for package ‘conformalClassification’ version 1.0.0

- DESCRIPTION file

## Help Pages

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