Package: gpciImpSam
Type: Package
Title: Importance Sampling Estimation of Generalized Process Capability
        Indices
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"))
    )
Description: Provides a comprehensive generalized framework for parameter estimation 
    and Generalized Process Capability Indices (GPCIs) under uncensored data using 
    Importance Sampling (ImpSam). Supports user-supplied probability density functions 
    (PDF/PMF), cumulative distribution functions (CDF), and survival functions (SF). 
    Computes classical and generalized capability indices including Cpy (Maiti et al., 2010 
    <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1080/00949655.2019.1671980>), 
    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. Generates parameter and GPCI MCMC chains via 
    Sampling Importance Resampling (SIR) after burn-in and thinning. Provides point 
    estimates, bias, MSE, risk values, Highest Posterior Density (HPD) intervals 
    at 90, 95, and 99 percent levels of significance, Heidelberger and Welch MCMC 
    convergence diagnostic, and convergence probability.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, numDeriv, boot
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-07-30 02:35:41 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1606-0844>)
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 16:30:07 UTC
