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gpcihybridII
Generalized Process Capability Indices under Hybrid Type-II Censoring
View on CRAN: Click
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Download and install gpcihybridII package within the R console
Install from CRAN:
install.packages("gpcihybridII")
Install from Github:
library("remotes")
install_github("cran/gpcihybridII") Install by package version:
library("remotes")
install_version("gpcihybridII", "0.1.0") Attach the package and use:
library("gpcihybridII")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2026-08-21
Latest Update: 2026-08-21
Description:
A comprehensive, generalized framework for computing, estimating, and validating Generalized Process Capability Indices (GPCIs) under Hybrid Type-II censored lifetime data. Supports user-supplied probability density or mass functions (PDF/PMF), cumulative distribution functions (CDF), survival functions (SF), and quantile functions. Parameter estimation under Hybrid Type-II censoring is performed via Maximum Likelihood Estimation using the 'MleCensoR' package (Childs et al., 2003 <doi:10.1007/BF02517803>; Balakrishnan & Kundu, 2013 <doi:10.1002/nav.21545>). Computes 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. Evaluates parametric and non-parametric bootstrap confidence intervals at 90 percent, 95 percent, and 99 percent levels of significance 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. Integrates goodness-of-fit testing for Hybrid Type-II censored data via the 'gofPHCS' package.
How to cite:
Shikhar Tyagi (2026). gpcihybridII: Generalized Process Capability Indices under Hybrid Type-II Censoring. R package version 0.1.0, https://cran.r-project.org/web/packages/gpcihybridII. Accessed 24 Oct. 2026.
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