editrules: R package for 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.

Version: 2.7.2
Depends: R (≥ 2.12.0), igraph, lpSolveAPI
Published: 2013-07-03
Author: Edwin de Jonge, Mark van der Loo
Maintainer: Edwin de Jonge <edwindjonge at gmail.com>
License: GPL-3
URL: https://github.com/edwindj/editrules
NeedsCompilation: no
Citation: NA
Materials: NA
In views: OfficialStatistics
CRAN checks: editrules results

Downloads:

Reference manual: editrules.pdf
Vignettes: editrules-vignette
Package source: editrules_2.7.2.tar.gz
Windows binaries: r-devel: editrules_2.7.2.zip, r-release: editrules_2.7.2.zip, r-oldrel: editrules_2.7.2.zip
OS X Snow Leopard binaries: r-release: editrules_2.7.2.tgz, r-oldrel: editrules_2.7.2.tgz
OS X Mavericks binaries: r-release: editrules_2.7.2.tgz
Old sources: editrules archive

Reverse dependencies:

Reverse depends: deducorrect, rspa