  This paper presents a high-level description of the R software package
mixdistreg to fit mixture of experts distributional regression models. The
proposed framework is implemented in R using the deepregression software
template, which is based on TensorFlow and follows the neural structured
additive learning principle. The software comprises various approaches as
special cases, including mixture density networks and mixture regression
approaches. Various code examples are given to demonstrate the package's
functionality.
