R Observatory: Metrics for MultiStepSSAD version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MultiStepSSAD

0.1.0

Multiple-Steps Step-Stress Accelerated Degradation Modeling

0packages depend

39downloads / year

75.1%test coverage

8/8checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-081 releasesCRAN page ↗

Implements statistical methods for multiple-steps step-stress accelerated degradation testing (SSADT) based on Wiener processes and Gamma processes as described by Pan and Balakrishnan (2010) doi:10.1080/03610918.2010.496060. Features maximum likelihood estimation (MLE), Bayesian Markov chain Monte Carlo (MCMC) sampling, Geweke convergence diagnostics, and reliability predictions under normal operating stress conditions.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("MultiStepSSAD", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-MultiStepSSAD

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-MultiStepSSAD

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

8OK

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.11

75.1%

Coverage · measured lines

100%

Documentation · exports

4

Dependencies · direct

Check history

OK2026-08-08
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 100%
References docs: 43%

Downloads

39

CRAN downloads in the past year

Rank #24,870 · ~0/day · ~3/mo

MultiStepSSAD Releases R versions

Daily download trend is not available in this view yet.

3930 days

3990 days

391 year

Compare downloads with other packages →

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (4)

statsgraphicsgrDevicesutils

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Shikhar Tyagi

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-08 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-08
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0.0
Bundled data: 4.3 KB / 4 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiStepSSAD")

Format

Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). MultiStepSSAD: Multiple-Steps Step-Stress Accelerated Degradation Modeling (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MultiStepSSAD

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MultiStepSSAD version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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