Table presents a group of recently published or commonly used R-packages and R-Shiny tools for statistical analysis of quantitative LFQ-based data. We selected the packages based on the number of uses in PubMed, the novelty of the algorithms and methods employed for the statistical analysis, the maintainability, and the user interface. In this manuscript, we only discuss R packages and applications under active maintenance but neither independent scripts nor adaptions of other omics packages to the field of proteomics.