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.

翻译：本文对R软件包mixdistreg进行了高级概述，该包用于拟合混合专家分布回归模型。所提出的框架利用deepregression软件模板在R中实现，该模板基于TensorFlow并遵循神经结构加法学习原则。该软件包含多种特殊情形下的方法，包括混合密度网络和混合回归方法。本文提供了多种代码示例来展示该包的功能。