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Accession #: rp222020

 

Publication Date:
February 01, 2022
Title:
LRMoE: An R Package for Flexible Insurance Loss Modelling Using a Mixture of Experts Regression Model
Other Details:
36 pages.
Author:
Spark C. Tseung, Andrei L. Badescu, Tsz Chai Fung, and X. Sheldon Lin
Description:
This paper introduces a new R package, LRMoE, statistical software tailor-made for actuarial applications which allows actuarial researchers and practitioners to model and analyze insurance loss frequencies and severities using the Logit-weighted Reduced Mixture of Experts (LRMoE) model. LRMoE offers several new distinctive features which are motivated by various actuarial applications and generally cannot be achieved using existing packages for mixture models.

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