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gpciIntCensor

0.1.0

Generalized Process Capability Indices for Interval-Censored Data

0packages depend
34downloads / year
test coverage
8/8checks pass

Overview

About
Maintained by Shikhar TyagiFirst published 2026-08-081 releasesCRAN page ↗

A comprehensive framework for computing, estimating, and validating Generalized Process Capability Indices (GPCIs) under interval-censored data. Supports user-supplied probability density functions (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). Parameter estimation is performed using Maximum Likelihood Estimation for interval-censored data via the MleCensoR package. Computes classical and generalized capability indices including Cpy (Maiti et al., 2010), Spmk (Dey & Saha, 2019), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022), CNpmc (Alotaibi et al., 2022), CNpmkc (Saha et al., 2024), CNpk (Saha et al., 2018), and Vannman's Cp(u,v) family. Provides parametric and non-parametric bootstrap confidence intervals at 90%, 95%, and 99% confidence levels using percentile, normal, basic, BCa, BCp, and studentized bootstrap methods. Computes standard errors, mean squared errors, and coverage probabilities for both distribution parameters and capability indices. References: Maiti, Saha & Nanda (2010) doi:10.1080/16843703.2010.11673233, Saha, Dey & Maiti (2018) doi:10.1080/21681015.2018.1437793, Dey & Saha (2019) doi:10.1007/s41872-019-00081-4, Saha, Dey & Maiti (2019) doi:10.1007/s13198-019-00789-7, Alotaibi, Dey & Saha (2022) doi:10.1155/2022/3135264, Saha, Dey & Nadarajah (2022) doi:10.1080/02664763.2021.1971632, Saha, Tripathi & Dey (2024) doi:10.1142/S021853932450013X.

Install

Health

CRAN checks
8OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-09
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
83%
Return-value docs
100%
References docs
0%

Downloads

34
CRAN downloads in the past year
Rank #24,887 · ~0/day · ~3/mo
gpciIntCensor
Daily download trend is not available in this view yet.

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (5)
statsgraphicsnumDerivbootMleCensoR
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-08-08 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-08
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gpciIntCensor")
Tyagi, S., Kumar, S., Pandey, A., Singh, B., & Tripathi, V. (2026). gpciIntCensor: Generalized Process Capability Indices for Interval-Censored Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.gpciIntCensor

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 gpciIntCensor version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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