Holt's generalized principle and rules can be visualized with
Collate: 'adjacency.R' 'as.igraph.R' 'backtracker.R' 'blocks.R'

Collate: 'adjacency.R' 'as.igraph.R' 'as.matrix.R' 'backtracker.R'

Description: Facilitates reading and manipulating
(multivariate) data restrictions (edit rules) on
numerical and categorical data. Rules can be defined
with common R syntax and parsed to an internal
(matrix-like format). Rules can be manipulated with
variable elimination and value substitution methods,
allowing for feasibility checks and more. Data can be
tested against the rules and erroneous fields can be
found based on Fellegi and Holt's generalized principle
and rules can be visualized with the igraph package.

'contains.R' 'c.R' 'duplicated.R' 'echelon.R' 'editarrayAttr.R'

'print.R' 'reduce.R' 'str.R' 'subsetting.R' 'substValue.R'

'contains.R' 'c.R' 'dnf.R' 'duplicated.R' 'echelon.R'
'plot_errorLocation.R' 'plot.R' 'print.R' 'reduce.R' 'str.R'

Title: R package for parsing, applying, and manipulating data cleaning
Holt's generalized principle. Rules dependencies can be
visualized with using the igraph package.
Collate: 'adjacency.R' 'as.igraph.R' 'editset.R' 'editarray.R'
'checkRows.R' 'contains.R' 'c.R' 'disjunct.R' 'duplicated.R'
'plot.R' 'print.R' 'reduce.R' 'softEdits.R' 'str.R'

Depends: R (>= 2.12.0), igraph, lpSolveAPI
'editmatrix.R' 'as.matrix.R' 'backtracker.R' 'blocks.R' 'c.R'
'pkg.R' 'plot.R' 'plot_errorLocation.R' 'print.R' 'reduce.R'

'parseMix.R' 'parseNum.R' 'perturbWeights.R' 'pkg.R' 'plot.R'

Title: Parsing, Applying, and Manipulating Data Cleaning Rules
Description: Facilitates reading and manipulating (multivariate) data restrictions
(edit rules) on numerical and categorical data. Rules can be defined with common R syntax
and parsed to an internal (matrix-like format). Rules can be manipulated with
variable elimination and value substitution methods, allowing for feasibility checks
and more. Data can be tested against the rules and erroneous fields can be found based
on Fellegi and Holt's generalized principle. Rules dependencies can be visualized with