OneShotEM: Efficient eM-Algorithm for One-Shot Device Data Analysis

Implements the simple and efficient Expectation-Maximization (eM) algorithm proposed by Zhu, Li, Li, and Balakrishnan (2026) <doi:10.1080/03610918.2025.2515193> for parameter estimation in one-shot device accelerated life testing (ALT) data. Unlike traditional EM algorithms that impute exact failure times, this method treats failure counts between inspection intervals as missing data, resulting in faster convergence and enhanced numerical stability. Supports Exponential, Weibull, Lognormal, Gamma, and custom user-defined lifetime distributions under log-linear stress models. Standard errors, confidence intervals, model selection statistics (AIC, BIC, AICc, HQIC), residual diagnostics, and visualization tools are provided. References: Balakrishnan and Ling (2012) <doi:10.1016/j.csda.2011.09.010>, Fan, Balakrishnan, and Chang (2009) <doi:10.1080/00949650802142592>.

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	stats, graphics, grDevices, utils, methods, numDeriv
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-08-21
DOI:	10.32614/CRAN.package.OneShotEM
Author:	Shikhar Tyagi [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer:	Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Language:	en-US
CRAN checks:	OneShotEM results

Documentation:

Reference manual:	OneShotEM.html , OneShotEM.pdf
Vignettes:	An Efficient eM-Algorithm for One-Shot Device Data Analysis (source, R code)

Downloads:

Package source:	OneShotEM_0.1.0.tar.gz
Windows binaries:	r-devel: OneShotEM_0.1.0.zip, r-release: OneShotEM_0.1.0.zip, r-oldrel: OneShotEM_0.1.0.zip
macOS binaries:	r-release (arm64): OneShotEM_0.1.0.tgz, r-oldrel (arm64): OneShotEM_0.1.0.tgz, r-release (x86_64): OneShotEM_0.1.0.tgz, r-oldrel (x86_64): OneShotEM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OneShotEM to link to this page.