Package: gpci
Type: Package
Title: Generalized Process Capability Indices and Bootstrap Confidence
        Intervals
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). Supports 
    user-supplied probability density functions (PDF/PMF), cumulative distribution 
    functions (CDF), survival functions (SF), and quantile functions with uncensored 
    data parameter estimation via Maximum Likelihood Estimation (MLE). Provides classical 
    and non-normal capability indices, including Cpy (Maiti, Saha and Nanda, 2010) 
    <doi:10.1080/16843703.2010.11673233>, Spmk (Dey and Saha, 2019) 
    <doi:10.1007/s41872-019-00081-4>, CpTk (Saha, Dey and Maiti, 2019) 
    <doi:10.1007/s13198-019-00789-7>, Cpc (Saha, Dey and Nadarajah, 2022) 
    <doi:10.1080/02664763.2021.1971632>, CNpmc (Alotaibi, Dey and Saha, 2022) 
    <doi:10.1155/2022/3135264>, CNpmkc (Saha, Tripathi and Dey, 2024) 
    <doi:10.1142/S021853932450013X>, CNpk (Saha, Dey and Maiti, 2018) 
    <doi:10.1080/21681015.2018.1437793>, and Vannman capability indices. Computes 
    parametric and non-parametric bootstrap confidence intervals at 90%, 95%, and 99% 
    confidence levels using percentile, normal, basic, BCa, BCp, and studentized 
    bootstrap methods. Evaluates Highest Posterior Density (HPD) intervals and 
    Heidelberger-Welch convergence diagnostics.
    References:
    Maiti, Saha and Nanda (2010) <doi:10.1080/16843703.2010.11673233>,
    Saha, Dey and Maiti (2018) <doi:10.1080/21681015.2018.1437793>,
    Dey and Saha (2019) <doi:10.1007/s41872-019-00081-4>,
    Saha, Dey and Maiti (2019) <doi:10.1007/s13198-019-00789-7>,
    Alotaibi, Dey and Saha (2022) <doi:10.1155/2022/3135264>,
    Saha, Dey and Nadarajah (2022) <doi:10.1080/02664763.2021.1971632>,
    Saha, Tripathi and Dey (2024) <doi:10.1142/S021853932450013X>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0)
Imports: stats, ggplot2, numDeriv, boot
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-08-20 22:11:13 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: 2026-08-31 12:30:02 UTC
Built: R 4.5.2; ; 2026-08-31 15:05:32 UTC; unix
