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gpciLindApproxProgII: Lindley Approximation for Capability Indices under Progressive Censoring

Implements Bayesian parameter and Generalized Process Capability Indices (GPCIs) estimation using the Lindley approximation method (Lindley, 1980 <doi:10.2307/2345271>) under progressive Type-II censored data (Balakrishnan & Aggarwala, 2000 <doi:10.1007/978-1-4612-1334-5>). Evaluates point estimates and posterior expectations for classical and non-normal capability indices, including Cpy (Maiti et al., 2010 <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family (Vannman, 1995 <doi:10.1111/j.1467-9574.1995.tb01472.x>). Calculates point estimates, bias, mean squared error (MSE), Bayes risk under Linex and squared error loss, Highest Posterior Density (HPD) credible intervals at 90%, 95%, and 99% levels, and Heidelberger and Welch's MCMC convergence diagnostics (Heidelberger & Welch, 1983 <doi:10.1287/opre.31.6.1109>) with convergence probabilities. Accommodates user-defined probability density/mass functions, cumulative distribution functions, and survival functions. Supports progressive parametric and non-parametric bootstrap confidence intervals (Efron, 1987 <doi:10.1080/01621459.1987.10478410>) at 90%, 95%, and 99% significance levels.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: stats, graphics, ggplot2, numDeriv, boot, coda
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-08-26
DOI: 10.32614/CRAN.package.gpciLindApproxProgII (may not be active yet)
Author: Shikhar Tyagi ORCID iD [aut, cre], Sumit Kumar [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: gpciLindApproxProgII results [issues need fixing before 2026-09-17]

Documentation:

Reference manual: gpciLindApproxProgII.html , gpciLindApproxProgII.pdf
Vignettes: Lindley Approximation Method for Generalized Process Capability Indices under Progressive Type-II Censoring (source, R code)

Downloads:

Package source: gpciLindApproxProgII_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): gpciLindApproxProgII_0.1.0.tgz, r-oldrel (arm64): gpciLindApproxProgII_0.1.0.tgz, r-release (x86_64): gpciLindApproxProgII_0.1.0.tgz, r-oldrel (x86_64): gpciLindApproxProgII_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.