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.
| Version: | 2.2-0 |
| Suggests: | lpSolveAPI, iterators, igraph |
| Published: | 2012-02-23 |
| Author: | Edwin de Jonge, Mark van der Loo |
| Maintainer: | Edwin de Jonge <edwindjonge at gmail.com> |
| License: | GPL-3 |
| URL: | http://code.google.com/p/editrules/ |
| In views: | OfficialStatistics |
| CRAN checks: | editrules results |
| Package source: | editrules_2.2-0.tar.gz |
| MacOS X binary: | editrules_2.2-0.tgz |
| Windows binary: | editrules_2.2-0.zip |
| Reference manual: | editrules.pdf |
| Vignettes: |
Error localization for numerical and categorical edits as a mixed integer problem Manipulation of categorical data edits and error localization with the editrules package Manipulation of linear edits and error localization with the editrules package |
| News/ChangeLog: | NEWS |
| Old sources: | editrules archive |
| Reverse depends: | deducorrect |