retroharmonize: Ex Post Survey Data Harmonization

Retroharmonize 0.2.4  is a next step towards creating a robust workflow and documentation that can be submitted for a peer review as a methodological innovation.

The aim of retroharmonize is to provide tools for reproducible retrospective (ex-post) harmonization of datasets that contain variables measuring the same concepts but coded in different ways. Ex-post data harmonization enables better use of existing data and creates new research opportunities. For example, harmonizing data from different countries enables cross-national comparisons, while merging data from different time points makes it possible to track changes over time.

There are many changes compared to earlier versions to make the user interface more consistent, i.e. parameters are harmonized, and parallel code elements are removed.  The documentation is greatly enhanced. 

For testing purposes, we release the Harmonized Cultural Access & Participation Dataset (which is also has a vignette in the longform documentation of the R package)