Package: gpcihybridII
Type: Package
Title: Generalized Process Capability Indices under Hybrid Type-II
        Censoring
Version: 0.1.0
Authors@R: c(
    person("Shikhar", "Tyagi",
           email = "shikhar1093tyagi@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-1606-0844")),
    person("Sumit", "Kumar",
           email = "stats.sumitbhal@gmail.com",
           role = "aut"),
    person("Arvind", "Pandey",
           email = "arvindmzu@gmail.com",
           role = "aut"),
    person("Bhupendra", "Singh",
           email = "bhupendra.rana@gmail.com",
           role = "aut"),
    person("Vrijesh", "Tripathi",
           email = "vrijesh.tripathi@uwi.edu",
           role = "aut")
    )
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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0)
Imports: stats, numDeriv, MleCensoR, gofPHCS
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-08-15 03:05:30 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1606-0844>),
  Sumit Kumar [aut],
  Arvind Pandey [aut],
  Bhupendra Singh [aut],
  Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-21 13:00:36 UTC
Built: R 4.5.2; ; 2026-08-21 14:08:17 UTC; unix
