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: | 1.1.7 |
| Depends: | R (≥ 3.5.0), methods |
| Imports: | stats, graphics, grid,settings,yaml |
| Suggests: | rsdmx,tinytest (≥ 0.9.6),knitr,bookdown,lumberjack,rmarkdown |
| Published: | 2025-12-10 |
| DOI: | 10.32614/CRAN.package.validate |
| Author: | Mark van der Loo [cre, aut], Edwin de Jonge [aut], Paul Hsieh [ctb] |
| Maintainer: | Mark van der Loo <mark.vanderloo at gmail.com> |
| BugReports: | https://github.com/data-cleaning/validate/issues |
| License: | GPL-3 |
| URL: | https://github.com/data-cleaning/validate |
| NeedsCompilation: | yes |
| Citation: | validate citation info |
| Materials: | NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | validate results |
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