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gpciIntCensor
Generalized Process Capability Indices for Interval-Censored Data
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Download and install gpciIntCensor package within the R console
Install from CRAN:
install.packages("gpciIntCensor")
Install from Github:
library("remotes")
install_github("cran/gpciIntCensor") Install by package version:
library("remotes")
install_version("gpciIntCensor", "0.1.0") Attach the package and use:
library("gpciIntCensor")
Maintained by
Shikhar Tyagi
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[Scholar Profile | Author Map]
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First Published: 2026-08-08
Latest Update: 2026-08-08
Description:
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>.
How to cite:
Shikhar Tyagi (2026). gpciIntCensor: Generalized Process Capability Indices for Interval-Censored Data. R package version 0.1.0, https://cran.r-project.org/web/packages/gpciIntCensor. Accessed 24 Oct. 2026.
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