R/Privacy: Raising the quality and trust of data privacy software

Data privacy has become one of the hot topics in society, but also in research. In the light of data available to the public or to researchers, data privacy should ensure that individuals cannot be identified. This project aims to improve the code quality of the R package sdcMicro (used for data anonymization) and the R package simPop (used for simulating synthetic confidential data). This can be achieved by writing tests using R packaged like "Testthat" and "devtools".