(eng): The implementation in R software performs a robust hypothesis test comparing two samples, which takes into account measurement errors. This is a very unique approach to testing under the presence of measurement errors. The presented code performs a complete analysis, including the computation of the test statistic for a given dataset, the critical value, and evaluates the power of the test. Computing the critical value as well as the power is very tedious but feasible with this software for moderate sample sizes. The software is available under MIT license.