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_any and exists_one to help define cross-record validation rules (thanks to David Salgado)
• results of sort and aggregate now 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.

• 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}
  }