errorLocalizer.mip

an <code><a href="/link/editset?package=editrules&version=2.5-0" rd-options="" data-mini-rdoc="editrules::editset">editset</a></code>,
  <code><a href="/link/editmatrix?package=editrules&version=2.5-0" rd-options="" data-mini-rdoc="editrules::editmatrix">editmatrix</a></code>, or <code><a href="/link/editarray?package=editrules&version=2.5-0" rd-options="" data-mini-rdoc="editrules::editarray">editarray</a></code>

weight

number of seconds that is spent on
  finding a solution

maxduration

verbosity argument that will be passed on
  to <code>solve</code> lpSolveAPI

verbose

other arguments that will be passed on to
  <code>solve</code> or to generateXlims.

<code>errorLocalizer.mip</code> uses <code>E</code> and <code>x</code> to
  define a mixed integer problem and solves this problem
  using <code>lpSolveApi</code>. This function can be much faster
  then <code><a href="/link/errorLocalizer?package=editrules&version=2.5-0" rd-options="" data-mini-rdoc="editrules::errorLocalizer">errorLocalizer</a></code> but does not return the
  degeneracy of a solution. However it does return an
  bonus: <code>x_feasible</code>, a feasible solution.

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.

errorLocalizer.mip: Localize errors using a MIP approach.

Description

Usage

Arguments

Value

References

See Also