Validated and Controlled R


ValidR: a controlled version of R

R has fast become the programming language of choice for enterprise – its open-source nature being one of its key strengths. However, this is also where regulated sectorssuch as pharmaceutical, insurance and finance— and organisations with stringent IT requirements have found key challenges.

To solve this problem, we developed ValidR.

ValidR delivers a validated version of R and is designed to comply with regulatory guidelines on the qualification and validation of systems, such as the FDA’s 21 CFR Part 11.

ValidR is delivered as a single, easy-to-install bundle for both Linux and SUSE server environments (Other OS available subject to discussion).

This bundle contains:

  • All validated R packages and their associated tests written by Mango
  • All dependencies for R packages within the validated environment, each of which are subjected to a lower-level acceptance process.
  • Validation reports for each validated R package
  • A full suite of product documentation (including requirements specification, functional specification, technical design, installation guides, user guides, and release note).

In addition, the ValidR subscription provides an annual re-deployment of the ValidR product containing an updated R version, additional packages and an updated test suite.

ValidR customisations

The ValidR product can also be customised in two ways:

Custom modules
We believe that the ValidR product includes the best-performing R packages, but we understand that organisations may require certain packages for specialised tasks. As such, we provide a validation service for additional packages, charged on a time-and-materials basis.


All of our private courses and webinars have been designed to complement ValidR, with training modules specifically written covering each ValidR module.

Click here for more information on R training.

To find out how ValidR could benefit your organisation, please contact us.


Mango Solutions have been empowering organisations to make informed decisions using data science and advanced analytics since 2002.