Imputation Procedures and Quality Tests for Fuzzy Data

Documentation for package ‘FuzzyImputationTest’ version 0.5.1

ApplyStatisticalTests	Statistical epistemic tests the imputed values.
CalculateFuzzyMeasures	Calculation of the fuzzy measures for the imputed values.
ErrorMatrix	Calculation of the errors for the imputed values.
FuzzifyMatrix	Fuzzyfing the crisp values.
FuzzyImputation	Main method to impute fuzzy values.
FuzzyNumbersToMatrix	Conversion of a list of fuzzy numbers into a matrix.
ImputationDimp	DIMP (d-imputation) method for fuzzy numbers.
ImputationTests	Battery of test for the imputed fuzzy values.
IntroducingNA	Introducing NAs to the specified matrix.
MatrixToFuzzyNumbers	Conversion of a matrix to a list of fuzzy numbers.
MeasureAHD	Function to calculate the AHD distance between two fuzzy numbers.
MeasureEuclidean	Function to calculate the Euclidean distance between two fuzzy numbers.
MeasureHSD	Function to calculate the HSD distance between two fuzzy numbers.
methodNames	A vector containing names of the resampling methods.
MethodsComparison	Comparison of imputation methods for fuzzy values.
RemoveNotFuzzy	Removing values that are not fuzzy numbers.
StatisticalMeasures	Calculation of statistical measures for errors of the imputed data.
summary.impTest	Print summary of the benchmark for the imputation method.
summary.metComp	Print summary of the comparison of the imputation methods.