  We discuss an approach for fitting robust nonlinear regression models, which
can be employed to model and predict the contagion dynamics of the Covid-19 in
Italy. The focus is on the analysis of epidemic data using robust dose-response
curves, but the functionality is applicable to arbitrary nonlinear regression
models.
