mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods
Computation
2023-02-07 v1
Abstract
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.
Keywords
Cite
@article{arxiv.2302.02043,
title = {mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods},
author = {David Rügamer},
journal= {arXiv preprint arXiv:2302.02043},
year = {2023}
}