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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Generalized Process Capability Indices and Bootstrap Confidence
Intervals</dc:title>
  <dc:title>R package gpci version 0.1.0</dc:title>
  <dc: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) 
    &lt;doi:10.1080/16843703.2010.11673233&gt;, Spmk (Dey and Saha, 2019) 
    &lt;doi:10.1007/s41872-019-00081-4&gt;, CpTk (Saha, Dey and Maiti, 2019) 
    &lt;doi:10.1007/s13198-019-00789-7&gt;, Cpc (Saha, Dey and Nadarajah, 2022) 
    &lt;doi:10.1080/02664763.2021.1971632&gt;, CNpmc (Alotaibi, Dey and Saha, 2022) 
    &lt;doi:10.1155/2022/3135264&gt;, CNpmkc (Saha, Tripathi and Dey, 2024) 
    &lt;doi:10.1142/S021853932450013X&gt;, CNpk (Saha, Dey and Maiti, 2018) 
    &lt;doi:10.1080/21681015.2018.1437793&gt;, 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) &lt;doi:10.1080/16843703.2010.11673233&gt;,
    Saha, Dey and Maiti (2018) &lt;doi:10.1080/21681015.2018.1437793&gt;,
    Dey and Saha (2019) &lt;doi:10.1007/s41872-019-00081-4&gt;,
    Saha, Dey and Maiti (2019) &lt;doi:10.1007/s13198-019-00789-7&gt;,
    Alotaibi, Dey and Saha (2022) &lt;doi:10.1155/2022/3135264&gt;,
    Saha, Dey and Nadarajah (2022) &lt;doi:10.1080/02664763.2021.1971632&gt;,
    Saha, Tripathi and Dey (2024) &lt;doi:10.1142/S021853932450013X&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: stats, ggplot2, numDeriv, boot</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), knitr, rmarkdown</dc:relation>
  <dc:creator>Shikhar Tyagi &lt;shikhar1093tyagi@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Shikhar Tyagi [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-1606-0844&gt;),
  Sumit Kumar [aut],
  Arvind Pandey [aut],
  Bhupendra Singh [aut],
  Vrijesh Tripathi [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=gpci/LICENSE)</dc:rights>
  <dc:date>2026-08-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gpci</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gpci</dc:identifier>
</oai_dc:dc>
