isFeasible

an <code><a href="/link/editmatrix?package=editrules&version=2.7.2" rd-options="" data-mini-rdoc="editrules::editmatrix">editmatrix</a></code>,
  <code><a href="/link/editarray?package=editrules&version=2.7.2" rd-options="" data-mini-rdoc="editrules::editarray">editarray</a></code> or <code><a href="/link/editset?package=editrules&version=2.7.2" rd-options="" data-mini-rdoc="editrules::editset">editset</a></code>

logical: should a warning be emitted when
  system is infeasible?

warn

When variables are <code><a href="/link/eliminated?package=editrules&version=2.7.2&to=%3Deliminate" rd-options="=eliminate" data-mini-rdoc="=eliminate::eliminated">eliminated</a></code>
  one by one from a set of edits, eventually either no
  edits are left or an
  <code><a href="/link/obvious%0D%0A%20%20contradiction?package=editrules&version=2.7.2&to=%3DisObviouslyInfeasible" rd-options="=isObviouslyInfeasible" data-mini-rdoc="=isObviouslyInfeasible::obvious
  contradiction">obvious
  contradiction</a></code> is encountered. In the case no records
  can obey all edits in the set which is therefore
  <code>inFeasible</code>.

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.

isFeasible: Check consistency of set of edits

Description

Usage

Arguments

Value

See Also