The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, graphics, numDeriv, boot, MleCensoR |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-08-08 |
| DOI: | 10.32614/CRAN.package.gpciIntCensor |
| Author: | Shikhar Tyagi |
| Maintainer: | Shikhar Tyagi <shikhar1093tyagi at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | gpciIntCensor results |
| Reference manual: | gpciIntCensor.html , gpciIntCensor.pdf |
| Vignettes: |
Generalized Process Capability Indices for Interval-Censored Data (source, R code) |
| Package source: | gpciIntCensor_0.1.0.tar.gz |
| Windows binaries: | r-devel: gpciIntCensor_0.1.0.zip, r-release: gpciIntCensor_0.1.0.zip, r-oldrel: gpciIntCensor_0.1.0.zip |
| macOS binaries: | r-release (arm64): gpciIntCensor_0.1.0.tgz, r-oldrel (arm64): gpciIntCensor_0.1.0.tgz, r-release (x86_64): gpciIntCensor_0.1.0.tgz, r-oldrel (x86_64): gpciIntCensor_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gpciIntCensor to link to this page.
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.
Health stats visible at Monitor.