R: Deductive Correction, Deductive Imputation, and Deterministic Correction

# Deductive Correction, Deductive Imputation, and Deterministic Correction

## Documentation for package ‘deducorrect’ version 1.3.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

deducorrect-package | Deductive correction methods for sign, rounding and typing errors
as.character.correctionRules | Rules for deterministic correction
correctionRules | Rules for deterministic correction
correctionRules.character | Rules for deterministic correction
correctionRules.expression | Rules for deterministic correction
correctRounding | Correct records under linear restrictions for rounding errors
correctRounding.editmatrix | Correct records under linear restrictions for rounding errors
correctRounding.editset | Correct records under linear restrictions for rounding errors
correctSigns | Correct sign errors and value interchanges in data records
correctSigns.editmatrix | Correct sign errors and value interchanges in data records
correctSigns.editset | Correct sign errors and value interchanges in data records
correctTypos | Correct records under linear restrictions using typographical error suggestions
correctTypos.editmatrix | Correct records under linear restrictions using typographical error suggestions
correctTypos.editset | Correct records under linear restrictions using typographical error suggestions
correctWithRules | Deterministic correction
damerauLevenshteinDistance | Calculate the Damerau Levenshtein Distance between two strings
deducorrect-object | deducorrect object
deductiveLevels | Derive imputation values for categorical data
deductiveZeros | Find out which variables can deductively be imputed with 0
deductiveZeros.editmatrix | Find out which variables can deductively be imputed with 0
deductiveZeros.matrix | Find out which variables can deductively be imputed with 0
deduImpute | Deductive imputation of numerical or categorical values
deduImpute.editarray | Deductive imputation of numerical or categorical values
deduImpute.editmatrix | Deductive imputation of numerical or categorical values
deduImpute.editset | Deductive imputation of numerical or categorical values
getSignCorrection | workhorse for correctSigns
getVars.correctionRules | Rules for deterministic correction
hellerTompkins | Determine if a matrix is totally unimodular using Heller and Tompkins criterium.
imputess | Impute values from solution space
isTotallyUnimodular | Test for total unimodularity of a matrix.
newdeducorrect | Generate an S3 'deducorrect' object
print.correctionRules | Rules for deterministic correction
print.deducorrect | Generate an S3 'deducorrect' object
raghavachari | Determine if a matrix is unimodular using recursive Raghavachari criterium
reduceMatrix | Apply reduction method from Scholtus (2008)
solSpace | Solution space for missing values under equality constraints
solSpace.editmatrix | Solution space for missing values under equality constraints
solSpace.matrix | Solution space for missing values under equality constraints
status | Create empty status vector