Skip to content

gpciLindApproxProgII

0.1.1Package record

Lindley Approximation for Capability Indices under Progressive Censoring

0packages depend
580downloads / year
85.0%test coverage
13/13flavors OK

Overview

About

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 doi:10.1007/s13198-019-00789-7), 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.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK5 OK2026-08-27
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 146 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
18includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
64%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%

Downloads

580
CRAN downloads in the past year
Rank #22,347 · ~2/day · ~48/mo
Daily download trend is not available in this view yet.
29830 days
58090 days
5801 year
Compare downloads with other packages →
Also on15 r2u2 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing gpciLindApproxProgII adds 19 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)
R >= 4.0.0
Imports (6)
statsgraphicsggplot2numDerivbootcoda
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (5)
Author, Maintainer since 0.1.0 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 0.1.1Latest
    record
    2026-08-28 · current release · diff ↗
  • 0.1.0
    record
    2026-08-26
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-26
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Download size
57 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gpciLindApproxProgII")
Tyagi, S., Kumar, S., Pandey, A., Singh, B., & Tripathi, V. (2026). gpciLindApproxProgII: Lindley Approximation for Capability Indices under Progressive Censoring (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.gpciLindApproxProgII

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 gpciLindApproxProgII version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy