Skip to content

gpcihybridIImcmc

0.1.0Package record

Generalized Process Capability Indices for Hybrid Type-II Censored Data using MCMC

0packages depend
516downloads / year
56.9%test coverage
13/13flavors OK

Overview

About

Implements Bayesian Markov Chain Monte Carlo (MCMC) estimation using Metropolis-Hastings within Gibbs sampler for Generalized Process Capability Indices (GPCIs) under Hybrid Type-II censored lifetime data. Supports classical and generalized capability indices including Cpy, Cp, Cpk, Cpm, Cpmk, Spmk, CpTk, Cpc, CNp, CNpk, CNpm, CNpmk, CNpmc, and CNpmkc. Calculates posterior point estimates, bias, mean squared error (MSE), Bayes risk, Highest Posterior Density (HPD) credible intervals at 90%, 95%, and 99% levels, Heidelberger and Welch's MCMC convergence diagnostics, and coverage probabilities. Accommodates user-defined probability density/mass functions, cumulative distribution functions, and survival functions. Based on methods described in Childs et al. (2003) doi:10.1080/0266476032000053637, Kundu and Pradhan (2009) doi:10.1016/j.spl.2008.09.006, Saha and Dey (2019) doi:10.1007/s41872-019-00081-4, Alotaibi et al. (2022) doi:10.1155/2022/3135264, Dey et al. (2017) doi:10.1080/03610918.2017.1280166, and Wu et al. (2021) doi:10.1080/03610918.2021.1963449.

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK7 OK2026-08-22
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
28
Examples that run
100%19 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

516
CRAN downloads in the past year
Rank #23,842 · ~1/day · ~43/mo
Daily download trend is not available in this view yet.
23030 days
51690 days
5161 year
Compare downloads with other packages →
Also on14 r2u5 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing gpcihybridIImcmc adds 1 package (0 with compiled code, 73 KB of source tarballs). Heaviest: coda 73 KB.

Depends (0)
none
Imports (3)
codastatsgraphics
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-08-21 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-21
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Download size
35 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gpcihybridIImcmc")
Tyagi, S., & Tripathi, V. (2026). gpcihybridIImcmc: Generalized Process Capability Indices for Hybrid Type-II Censored Data using MCMC (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.gpcihybridIImcmc

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 gpcihybridIImcmc version 0.1.0 [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