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
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:

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

Downloads:

Package source:	validate_1.1.5.tar.gz
Windows binaries:	r-devel: validate_1.1.5.zip, r-release: validate_1.1.5.zip, r-oldrel: validate_1.1.5.zip
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

Linking:

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