editrules: Parsing, Applying, and Manipulating Data Cleaning Rules
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
using the igraph package.
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