validate: Data Validation Infrastructure

Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. Supports checks implied by an SDMX DSD file as well. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.

Version: 1.1.5
Depends: R (≥ 3.5.0), methods
Imports: stats, graphics, grid, settings, yaml
Suggests: rsdmx, tinytest (≥ 0.9.6), knitr, bookdown, lumberjack, rmarkdown
Published: 2024-02-14
DOI: 10.32614/CRAN.package.validate
Author: Mark van der Loo ORCID iD [cre, aut], Edwin de Jonge ORCID iD [aut], Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo at>
License: GPL-3
NeedsCompilation: yes
Citation: validate citation info
Materials: NEWS
In views: OfficialStatistics
CRAN checks: validate results


Reference manual: validate.pdf
Vignettes: The Data Validation Cookbook
Data Validation Infrastructure for R


Package source: validate_1.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): validate_1.1.5.tgz, r-oldrel (arm64): validate_1.1.5.tgz, r-release (x86_64): validate_1.1.5.tgz, r-oldrel (x86_64): validate_1.1.5.tgz
Old sources: validate archive

Reverse dependencies:

Reverse depends: errorlocate, validatetools
Reverse imports: dcmodify, deductive, One4All, rspa, validatesuggest
Reverse suggests: accumulate, datamods, iNZightTools, mapping


Please use the canonical form to link to this page.