print.backtracker

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.

print.backtracker: print a backtracker

Description

Usage

Arguments