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 editrules: Parsing, Applying, and Manipulating Data Cleaning Rules
 softEdits: Derive editmatrix with soft constraints based on boundaries...
Derive editmatrix with soft constraints based on boundaries of variables. This is a utility function that is used for constructing a mip/lp problem.
Description
Derive editmatrix with soft constraints based on boundaries of variables. This is a utility function that is used for constructing a mip/lp problem.
Usage
1 
Arguments
E 
normalized 
prefix 

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 adddummies: Add dummy variable to the data.frames, these are needed for...
 adjacency: Derive adjecency matrix from collection of edits
 as.character.cateditmatrix: Coerce an cateditmatrix to a 'character' vector
 as.editmatrix: Coerce a matrix to an edit matrix.
 as.editset: Coerce x to an editset
 asLevels: Transform a found solution into a categorical record
 as.lp.mip: Coerces a 'mip' object into an lpsolve object
 as.mip: Write an editset into a mip representation
 backtracker: Backtracker: a flexible and generic binary search program
 blocks: Decompose a matrix or edits into independent blocks
 cateditmatrix: Create an editmatrix with categorical variables
 checkDatamodel: Check data against a datamodel
 condition: Get condition matrix from an editset.
 contains: Determine which edits contain which variable(s)
 contains.boolmat: Determine if a boolean matrix contains 'var'
 datamodel: Summarize data model of an editarray in a data.frame
 disjunct: Decouple a set of conditional edits
 duplicated.editarray: Check for duplicate edit rules
 duplicated.editmatrix: Check for duplicate edit rules
 echelon: Bring an (edit) matrix to reduced row echelon form.
 editarray: convert to matrix
 editfile: Read edits edits from freeform textfile
 editmatrix: convert to matrix
 editnames: Names of edits
 editrulespackage: An overview of the function of package 'editrules'
 editrules.plotting: Graphical representation of edits
 edits: Example editrules, used in vignette
 editset: Read general edits
 editType: Determine edittypes in editset based on 'contains(E)'
 eliminate: Eliminate a variable from a set of edit rules
 errorLocalizer: Create a backtracker object for error localization
 errorLocalizer_mip: Localize errors using a MIP approach.
 errorLocation: The errorLocation object
 expandEdits: Expand an edit expression
 fcf.env: Field code forest algorithm
 generateEdits: Derive all essentially new implicit edits
 getA: Returns the coefficient matrix 'A' of linear (in)equalities
 getAb: Returns augmented matrix representation of edit set.
 getArr: Get named logical array from editarray
 getb: Returns the constant part 'b' of a linear (in)equality
 geth: Returns the derivation history of an edit matrix or array
 getInd: get index list from editmatrix
 getlevels: retrieve level names from editarray
 getnames: retrieve edit names from editarray
 getOps: Returns the operator part of a linear (in)equality...
 getSep: get seprator used to seperate variables from levels in...
 getUpperBounds: Get upperbounds of edits, given the boundaries of all...
 getVars: get names of variables in a set of edits
 getVars.cateditmatrix: Returns the variable names of an (in)equality 'editmatrix' E
 getVars.editarray: get variable names in editarray
 getVars.editlist: get variable names
 getVars.editmatrix: Returns the variable names of an (in)equality 'editmatrix' E
 impliedValues: Retrieve values stricktly implied by rules
 ind2char: Derive textual representation from (partial) indices
 indFromArray: Compute index from array part of editarray
 is.editrules: Check object class
 isFeasible: Check consistency of set of edits
 isNormalized: Check if an editmatrix is normalized
 isObviouslyInfeasible: Check for obvious contradictions in a set of edits
 isObviouslyRedundant: Find obvious redundancies in set of edits
 isSubset: Check which edits are dominated by other ones.
 localize: Workhorse function for localizeErrors
 localizeErrors: Localize errors on records in a data.frame.
 nedits: Number of edits Count the number of edits in a collection of...
 neweditarray: editarray: logical array where every column corresponds to...
 neweditmatrix: Create an 'editmatrix' object from its constituing...
 newerrorlocation: Generate new errorlocation object
 normalize: Normalizes an editmatrix
 parseCat: Parse a categorical edit expression
 parseCatEdit: parse categorial edit
 parseEdits: Parse a character vector of edits
 parseMix: Parse a mixed edit
 parseNum: Parse a numerical edit expression
 print.backtracker: print a backtracker
 print.cateditmatrix: print cateditmatrix
 print.editarray: print editarray
 print.editlist: print editset
 print.editmatrix: print editmatrix
 print.editset: print editset
 print.editsummary: summary
 print.errorLocation: Print object of class errorLocation
 print.locationsummary: summary
 print.violatedEdits: Print violatedEdits
 reduce: Remove redundant variables and edits.
 removeRedundantDummies: Remove redundant dummy variables
 separate: Separate an editset into its disconnected blocks and simplify
 simplify: Simplify logical mixed edits in an editset
 softEdits: Derive editmatrix with soft constraints based on boundaries...
 softEdits.cateditmatrix: Derive editmatrix with soft constraints. This is a utility...
 softEdits.editarray: Derive editmatrix with soft constraints based on boundaries...
 softEdits.editmatrix: Derive editmatrix with soft constraints based on boundaries...
 subsetting: Row index operator for 'editmatrix'
 substValue: Replace a variable by a value in a set of edits.
 violatedEdits: Check data against constraints
 writeELAsMip: Rewrite an editset and reported values into the components...