# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "gpcihybridIImcmc" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'gpcihybridIImcmc: Generalized Process Capability Indices for Hybrid Type-II
  Censored Data using MCMC'
version: 0.1.0
doi: 10.32614/CRAN.package.gpcihybridIImcmc
abstract: Implements Bayesian Markov Chain Monte Carlo (MCMC) estimation using Metropolis-Hastings
  within Gibbs sampler for Generalized Process Capability Indices (GPCIs) under Hybrid
  Type-II censored lifetime data. Supports classical and generalized capability indices
  including Cpy, Cp, Cpk, Cpm, Cpmk, Spmk, CpTk, Cpc, CNp, CNpk, CNpm, CNpmk, CNpmc,
  and CNpmkc. Calculates posterior point estimates, bias, mean squared error (MSE),
  Bayes risk, Highest Posterior Density (HPD) credible intervals at 90%, 95%, and
  99% levels, Heidelberger and Welch's MCMC convergence diagnostics, and coverage
  probabilities. Accommodates user-defined probability density/mass functions, cumulative
  distribution functions, and survival functions. Based on methods described in Childs
  et al. (2003) <https://doi.org/10.1080/0266476032000053637>, Kundu and Pradhan (2009)
  <https://doi.org/10.1016/j.spl.2008.09.006>, Saha and Dey (2019) <https://doi.org/10.1007/s41872-019-00081-4>,
  Alotaibi et al. (2022) <https://doi.org/10.1155/2022/3135264>, Dey et al. (2017)
  <https://doi.org/10.1080/03610918.2017.1280166>, and Wu et al. (2021) <https://doi.org/10.1080/03610918.2021.1963449>.
authors:
- family-names: Tyagi
  given-names: Shikhar
  email: shikhar1093tyagi@gmail.com
  orcid: https://orcid.org/0000-0003-1606-0844
- family-names: Tripathi
  given-names: Vrijesh
  email: vrijesh.tripathi@uwi.edu
repository: https://shikhartyagi.r-universe.dev
commit: e20515594f960e42048fc5beba80bb6148482c97
date-released: '2026-08-21'
contact:
- family-names: Tyagi
  given-names: Shikhar
  email: shikhar1093tyagi@gmail.com
  orcid: https://orcid.org/0000-0003-1606-0844