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} }`