R: Imputation Procedures and Quality Tests for Fuzzy Data

# Imputation Procedures and Quality Tests for Fuzzy Data

## Documentation for package ‘FuzzyImputationTest’ version 0.5.2

- DESCRIPTION file
- Package README

## Help Pages

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.