Deductive Correction, Deductive Imputation, and Deterministic Correction

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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