ADDT: An R Package for Analysis of Accelerated Destructive Degradation Test Data

TL;DR

The ADDT R package offers comprehensive tools for analyzing accelerated destructive degradation test data, enabling accurate estimation of thermal indices for polymeric materials through various statistical methods.

Contribution

This paper introduces the ADDT R package, which integrates traditional, parametric, and semiparametric methods for analyzing ADDT data and estimating thermal indices.

Findings

Provides a user-friendly R package for ADDT analysis

Includes multiple statistical methods for TI estimation

Demonstrates package functionality with real datasets

Abstract

Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparisons. The R package ADDT provides the functionalities of performing the traditional method based on the least-squares method, the parametric method based on maximum likelihood estimation, and the semiparametric method based on spline methods for analyzing ADDT data, and then estimating the TI for polymeric materials. In this chapter, we provide a detailed introduction to the ADDT package. We provide a step-by-step illustration for the use of functions in the package. Publicly available datasets are used for illustrations.