R Observatory: Metrics for gpcihybridIILinApp version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gpcihybridIILinApp

0.1.0Package record

Lindley Approximation for Capability Indices under Hybrid Censoring

0packages depend

507downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Shikhar TyagiCRAN page ↗

Provides a comprehensive framework for estimating Generalized Process Capability Indices (GPCIs) under Hybrid Type-II censored lifetime data using Lindley's 3rd-order approximation method (Lindley, 1980 doi:10.2307/2345271). Supports user-supplied probability density/mass functions (PDF/PMF), cumulative distribution functions (CDF), survival functions (SF), and quantile functions. Computes Maximum Likelihood Estimates (MLE) using the 'MleCensoR' package (Childs et al., 2003 doi:10.1007/BF02517803; Balakrishnan & Kundu, 2013 doi:10.1002/nav.21545) and Bayesian 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. Generates posterior parameter and GPCI chains via sampling with burn-in and thinning, calculating Bias, Mean Squared Error (MSE), Bayes Risk (SEL and Linex), 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. Evaluates parametric and non-parametric bootstrap confidence intervals (Percentile, Normal, Basic, BCp, BCa) at 90%, 95%, and 99% levels of significance. Integrates goodness-of-fit testing for Hybrid Type-II censored data via the 'gofPHCS' package.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

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

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

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gpcihybridiilinapp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# 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-gpcihybridIILinApp

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-gpcihybridIILinApp

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK7 OK2026-08-22

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 36 (1 internal)includes a package overview page
Examples that run: 100%22 run in a plain check
Exported functions with examples: 100%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Lindley Approximation for Capability Indices under Hybrid Censoring HTML

How these are measured

Downloads

507

CRAN downloads in the past year

Rank #24,012 · ~1/day · ~42/mo

Releases R versions

Daily download trend is not available in this view yet.

22630 days

50790 days

5071 year

Compare downloads with other packages →

Also on14 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing gpcihybridIILinApp adds 4 packages (0 with compiled code, 225 KB of source tarballs). Heaviest: withr 102 KB, numDeriv 74 KB, gofPHCS 26 KB.

Depends (1)

R >= 4.0.0

Imports (5)

statsgraphicsnumDeriv MleCensoR gofPHCS

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (5)

Shikhar Tyagi

Author, Maintainer since 0.1.0 (2026)

Author

Author

Author

Author

Releases (1)

0.1.0Latest
record
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: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Download size: 47 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gpcihybridIILinApp")

Format

Tyagi, S., Kumar, S., Pandey, A., Singh, B., & Tripathi, V. (2026). gpcihybridIILinApp: Lindley Approximation for Capability Indices under Hybrid Censoring (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.gpcihybridIILinApp

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gpcihybridIILinApp 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.

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