# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "BSCB" in publications use:' type: software license: MIT title: 'BSCB: Bayesian Simultaneous Credible Bands for Polynomial Regression' version: 1.0.0 abstract: 'Provides functions to construct two-sided Bayesian simultaneous credible bands (BSCBs) for the regression curve in univariate polynomial regression over a finite covariate interval. Six methods are implemented, including Normal-Gamma conjugate priors (with empirical Bayes, unit-information, and g-prior hyperparameter specifications), non-conjugate priors fitted via Hamiltonian Monte Carlo (HMC) using ''cmdstanr'', and a non-informative independent Jeffreys prior approach. Also includes functions for computing the empirical simultaneous coverage rate (ESCR) and posterior simultaneous coverage probability (PSCP), enabling performance comparison across methods. The methodology is described in: Yang, F., Han, Y., Liu, W., & Hall, I. (2026). "Bayesian simultaneous credible bands for polynomial regression" .' authors: - family-names: Yang given-names: Fei email: fei.yang@manchester.ac.uk orcid: https://orcid.org/0000-0002-3253-976X repository: https://cran.r-universe.dev repository-code: https://github.com/fannyyang73/BSCB commit: f55336bafec48812bddffe176dfc99b6009dd0a7 url: https://github.com/fannyyang73/BSCB date-released: '2026-07-02' contact: - family-names: Yang given-names: Fei email: fei.yang@manchester.ac.uk orcid: https://orcid.org/0000-0002-3253-976X