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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ImpAdaptType2Censor" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'ImpAdaptType2Censor: Data Generation and Statistical Inference for Improved
  Adaptive Type-II Progressive Censoring Schemes'
version: 0.1.0
doi: 10.32614/CRAN.package.ImpAdaptType2Censor
abstract: Comprehensive computational routines for random data generation, Maximum
  Likelihood Estimation (MLE), Maximum Product of Spacings Estimation (MPSE), and
  MCMC Bayesian estimation under the Improved Adaptive Type-II Progressive Censoring
  Scheme (IAT-II PCS). Users can supply custom probability density functions (PDF),
  cumulative distribution functions (CDF), survival functions, parameter ranges, and
  progressive censoring plans for any continuous univariate lifetime distribution,
  or rely on built-in parametric models (e.g., Generalized Exponential). Point estimation
  methods include MLE via optimization algorithms (Broyden-Fletcher-Goldfarb-Shanno
  (BFGS), Newton-Raphson (NR), Nelder-Mead (NM), Conjugate Gradients (CG), L-BFGS-B,
  Simulated Annealing (SANN), and Berndt-Hall-Hall-Hausman (BHHH)) and MPSE. Bayesian
  inference utilizes Metropolis-Hastings within Gibbs sampling under Squared Error
  Loss (SEL) and LINEX Loss (LL) functions to compute point estimates and Highest
  Posterior Density (HPD) credible intervals. Asymptotic confidence intervals for
  parameters, reliability, and hazard rate functions are constructed using asymptotic
  normality and delta method. Methods are based on Dev and Chacko (2026, Journal of
  the Iranian Statistical Society, 25, 1-29), Yan, Zhang, and Dong (2021, Journal
  of Computational and Applied Mathematics, 381, 113022, <https://doi.org/10.1016/j.cam.2020.113022>),
  Ng, Kundu, and Chan (2004, Naval Research Logistics, 51, 1145-1168, <https://doi.org/10.1002/nav.20045>),
  Cheng and Amin (1983, Journal of the Royal Statistical Society Series B, 45, 394-403,
  <https://doi.org/10.1111/j.2517-6161.1983.tb01268.x>), Kundu and Gupta (1999, Australian
  & New Zealand Journal of Statistics, 41, 173-188, <https://doi.org/10.1111/1467-842X.00072>),
  and Berndt, Hall, Hall, and Hausman (1974, Annals of Economic and Social Measurement,
  3, 653-665).
authors:
- family-names: Tyagi
  given-names: Shikhar
  email: shikhar1093tyagi@gmail.com
  orcid: https://orcid.org/0000-0003-1606-0844
- family-names: Pandey
  given-names: Arvind
  email: arvindmzu@gmail.com
- family-names: Singh
  given-names: Bhupendra
  email: bhupendra.rana@gmail.com
- family-names: Tripathi
  given-names: Vrijesh
  email: vrijesh.tripathi@uwi.edu
repository: https://shikhartyagi.r-universe.dev
commit: fbccdc2f6278c360b53ff76f0b4c5be541d61275
date-released: '2026-08-07'
contact:
- family-names: Tyagi
  given-names: Shikhar
  email: shikhar1093tyagi@gmail.com
  orcid: https://orcid.org/0000-0003-1606-0844