# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "SemiParamBernsteinDepCS" in publications use:' type: software license: GPL-3.0-or-later title: 'SemiParamBernsteinDepCS: Semiparametric Bayesian Regression for Dependent Current Status Data' version: 0.1.0 doi: 10.32614/CRAN.package.SemiParamBernsteinDepCS abstract: Implements a semiparametric Bayesian regression framework using Bernstein polynomial baseline models for analyzing dependent current status data. The package accommodates proportional hazards (PH) and proportional odds (PO) regression models with Archimedean copulas ('Gumbel', 'Frank', and 'Clayton') to model the joint dependence structure between event and observation or censoring times. Estimation is performed using a Robust Adaptive Metropolis (RAM) Markov Chain Monte Carlo ('MCMC') algorithm. Model comparison metrics including Deviance Information Criterion ('DIC') and posterior summaries with Highest Posterior Density ('HPD') intervals and Kendall's tau are provided. Methodological details are described in Sharma and Balakrishnan (2026) . 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: 20f6efb52515427211be900bd305a7d3af660740 date-released: '2026-08-07' contact: - family-names: Tyagi given-names: Shikhar email: shikhar1093tyagi@gmail.com orcid: https://orcid.org/0000-0003-1606-0844