# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "gpciImpSam" in publications use:' type: software license: MIT title: 'gpciImpSam: Importance Sampling Estimation of Generalized Process Capability Indices' version: 0.1.0 doi: 10.32614/CRAN.package.gpciImpSam abstract: 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 ), Spmk (Dey & Saha, 2019 ), CpTk (Saha et al., 2019), Cpc (Saha et al., 2022 ), CNpmc (Alotaibi et al., 2022 ), CNpmkc (Saha et al., 2024 ), CNpk (Saha et al., 2018 ), 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. authors: - family-names: Tyagi given-names: Shikhar email: shikhar1093tyagi@gmail.com orcid: https://orcid.org/0000-0003-1606-0844 repository: https://shikhartyagi.r-universe.dev commit: 62f56f98392cf513bdbfc1bf81fe5d22276323fb date-released: '2026-08-07' contact: - family-names: Tyagi given-names: Shikhar email: shikhar1093tyagi@gmail.com orcid: https://orcid.org/0000-0003-1606-0844