Analysis of Accelerated Destructive Degradation Test Data
Overview
Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the collected data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparison. This package implements 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, and the corresponding methods for estimating TI for polymeric materials. The traditional approach is a two-step approach that is currently used in industrial standards, while the parametric method is widely used in the statistical literature. The semiparametric method is newly developed. Both the parametric and semiparametric approaches allow one to do statistical inference such as quantifying uncertainties in estimation, hypothesis testing, and predictions. Publicly available datasets are provided illustrations. More details can be found in Jin et al. (2017).
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Yili Hong <yilihong@vt.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Yili",
family = "Hong",
role = c("aut", "cre"),
email = "yilihong@vt.edu"),
person(given = "Yimeng",
family = "Xie",
role = "aut"),
person(given = "Zhongnan",
family = "Jin",
role = "aut"),
person(given = "Caleb",
family = "King",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-13
- WARNING11 OK, 2 NOTE, 1 WARNING2026-03-12
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 36%
Downloads
Dependencies
Installing ADDT adds 3 packages (3 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, coneproj 33 KB.
Code & Tests
Datasets
People & History
Maintainer since 1.0 (2014)
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 2.0Latest
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.02014-09-26
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-09-26
- Total releases
- 2 / 12 yrs
- License
- GPL-2 OSI
- Bundled data
- 2.5 KB / 4 files
- Download size
- 24 KB
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