# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "LugsailGR" in publications use:' type: software license: GPL-2.0-or-later title: 'LugsailGR: Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC' version: 0.1.0 doi: 10.32614/CRAN.package.LugsailGR abstract: Provides generalized univariate and multivariate 'Gelman-Rubin' convergence diagnostics, effective sample size ('ESS') estimates, and principled termination thresholds for Markov chain Monte Carlo ('MCMC') simulations, based on Vats and Knudson (2021) . The package incorporates replicated lugsail batch means variance estimators to construct stable convergence statistics for single and multiple chains. Additionally, it offers comprehensive tools for evaluating 'MCMC' output generated from user-supplied probability density functions ('PDF') or log-likelihoods, including implementations for censored data models under right, left, interval, 'Type-I', 'Type-II', progressive, and hybrid censoring schemes. 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: 2b41ef774f66176ec996a0562573b44c41a24dc6 date-released: '2026-07-26' contact: - family-names: Tyagi given-names: Shikhar email: shikhar1093tyagi@gmail.com orcid: https://orcid.org/0000-0003-1606-0844