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CRAN just accepted the latest version of our R package validate.
The validate package provides an infrastructure to perform any data quality check in a flexible and extensible way.
This is a minor update with the following new features:
- New functions
exists_anyandexists_oneto help define cross-record validation rules (thanks to David Salgado) - results of
sortandaggregatenow include key columns (if any) - Added JSS paper and CITATION file.
We are also very happy to report that our paper on validate has been accepted by the Journal of Statistical Software. It will take a while before it is published but a preprint was added as a vignette.
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M. van der Loo and E. de Jonge, “Data validation infrastructure for R,” Journal of statistical software, p. Accepted for publication, 2019. [Bibtex]@article{loo2019validation,title = {Data Validation Infrastructure for {R}},year = {2019},author = {MPJ van der Loo and E de Jonge},journal = {Journal of Statistical Software},pages = {Accepted for publication},volume = {},note = {},pdf = {https://www.markvanderloo.eu/files/statistics/jss3483.pdf}}
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