Various R packages implement DEA procedures (e.g. Wilson, 2008; Oh and Suh, 2013; Bogetoft and Otto, 2015) but packages incorporating bad outputs into DEA models are not yet available on R. Therefore, we propose to bridge this gap by developing a ‘badDEA’ package. Such a package would unfold all the aforementioned approaches in their different variants: the objective of the firm (increase in the good outputs, decrease in the bad outputs or decrease in the inputs), the scale possibilities (increasing, decreasing or constant returns to scale), and the efficiency nature (radial, non-radial or directional distance function). The package would also aim at providing implicit prices (also called shadow prices) of bad outputs, which could for instance be useful in evaluating marginal abatement costs of pollution at the firm level. As such, ‘badDEA’ would provide an up-to-date code of the literature in pollution-adjusted efficiency measurement and would be the first of its kind in R.