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 
[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 |
Documentation:
Downloads:
Reverse dependencies:
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