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ADDT

2.0

Analysis of Accelerated Destructive Degradation Test Data

0packages depend
3.5Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Yili HongFirst published 2014-09-262 releasesCRAN page ↗

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

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • NOTE2026-03-13
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-03-12
    11 OK · 2 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
36%

Downloads

3.5K
CRAN downloads in the past year
Rank #11,703 · ~10/day · ~291/mo
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25330 days
84790 days
3.5K1 year
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (3)
nlmeMatrixconeproj
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

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Listed in earlier versions (4)
no longer listed · 1.0 to 2.0
no longer listed · 1.0 to 2.0
no longer listed · 1.0 to 2.0
no longer listed · 2.0
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

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    R 4.6.0 released · 2026-04-24
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    R 4.5.0 released · 2025-04-11
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    R 4.4.0 released · 2024-04-24
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    R 4.3.0 released · 2023-04-21
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    R 4.2.0 released · 2022-04-22
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    R 4.1.0 released · 2021-05-18
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    R 4.0.0 released · 2020-04-24
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    R 3.6.0 released · 2019-04-26
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    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0Latest
    2016-11-03 · current release · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    2014-09-26
  • R
    R 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
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ADDT")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ADDT version 2.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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