  This article describes the mixrandregret command, which extends the
randregret command introduced in Guti\'errez-Vargas et al. (2021, The Stata
Journal 21: 626-658) incorporating random coefficients for Random Regret
Minimization models. The newly developed command mixrandregret allows the
inclusion of random coefficients in the regret function of the classical RRM
model introduced in Chorus (2010, European Journal of Transport and
Infrastructure Research 10: 181-196). The command allows the user to specify a
combination of fixed and random coefficients. In addition, the user can specify
normal and log-normal distributions for the random coefficients using the
commands' options. The models are fitted using simulated maximum likelihood
using numerical integration to approximate the choice probabilities.
