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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
doi: 10.32614/CRAN.package.BSCB
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" <https://doi.org/10.48550/arXiv.2606.28015>.'
authors:
- family-names: Yang
  given-names: Fei
  email: fei.yang@manchester.ac.uk
  orcid: https://orcid.org/0000-0002-3253-976X
repository: https://fannyyang73.r-universe.dev
repository-code: https://github.com/fannyyang73/BSCB
commit: b9620c75f1adc5485d51b75ca26469fcab1d5caa
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