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ADDT (version 2.0)

Analysis of Accelerated Destructive Degradation Test Data

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).

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Version

Install

install.packages('ADDT')

Monthly Downloads

247

Version

2.0

License

GPL-2

Maintainer

Yili Hong

Last Published

November 3rd, 2016

Functions in ADDT (2.0)

AdhesiveBondB

Adhesive Bond B dataset
SealStrength

Data for Seal Strength
summary.addt.fit

Summary of an "addt.fit" object.
AdhesiveFormulationK

Adhesive Formulation K Data
addt.predint.ybar.mle

Prediction of the mean of future observations
addt.confint.ti.mle

Confidence Interval for Thermal Index (TI).
ADDT-package

Accelerated Destructive Degradation Testing
PolymerY

Polymeric Material
addt.mean.summary

ADDT Batch Means Summary
plot.addt.fit

ADDT Plotting