randregret: A command for fitting random regret minimization models using Stata

In this article, we describe the randregret command, which implements a variety of random regret minimization (RRM) models. The command allows user to apply classic RRM model introduced in Chorus (2010, European Journal Transport and Infrastructure Research 10: 181–196), generalized (2014, Transportation Research, Part B 68: 224–238), also µRRM pure models, both van Cranenburgh, Guevara, (2015, A 74: 91–109). We illustrate use by using stated choice data on route preferences. offers robust cluster standarderror correction analytical expressions score functions. It likelihood-ratio tests that can be used assess relevance given specification. Finally, users obtain predicted probabilities from each randregretpred command.