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ADDT  

Analysis of Accelerated Destructive Degradation Test Data
View on CRAN: Click here


Download and install ADDT package within the R console
Install from CRAN:
install.packages("ADDT")

Install from Github:
library("remotes")
install_github("cran/ADDT")

Install by package version:
library("remotes")
install_version("ADDT", "2.0")



Attach the package and use:
library("ADDT")
Maintained by
Yili Hong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-26
Latest Update: 2016-11-03
Description:
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).
How to cite:
Yili Hong (2014). ADDT: Analysis of Accelerated Destructive Degradation Test Data. R package version 2.0, https://cran.r-project.org/web/packages/ADDT. Accessed 23 Sep. 2026.
Previous versions and publish date:
1.0 (2014-09-26 07:55), (2026-07-09 07:56)
Other packages that cited ADDT R package
View ADDT citation profile
Other R packages that ADDT depends, imports, suggests or enhances
Complete documentation for ADDT
Functions, R codes and Examples using the ADDT R package
Some associated functions: ADDT-package . AdhesiveBondB . AdhesiveFormulationK . PolymerY . SealStrength . addt.confint.ti.mle . addt.fit . addt.mean.summary . addt.predint.ybar.mle . plot.addt.fit . summary.addt.fit . 
Some associated R codes: ADDT-package.R .  Full ADDT package functions and examples
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