# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "refundBayes" in publications use:' type: software license: GPL-2.0-only title: 'refundBayes: Bayesian Regression with Functional Data' version: 0.6.0 doi: 10.1002/sim.70265 identifiers: - type: doi value: 10.32614/CRAN.package.refundBayes abstract: Bayesian regression with functional data, including regression with scalar, survival, or functional outcomes. The package allows regression with scalar and functional predictors. Methods are described in Jiang et al. (2025) "Tutorial on Bayesian Functional Regression Using Stan" . authors: - family-names: Jiang given-names: Ziren email: jian0746@umn.edu - family-names: Cui given-names: Erjia preferred-citation: type: article title: Tutorial on Bayesian Functional Regression Using Stan authors: - family-names: Jiang given-names: Ziren email: jian0746@umn.edu - family-names: Crainiceanu given-names: Ciprian - family-names: Cui given-names: Erjia journal: Statistics in Medicine year: '2025' volume: '44' issue: 20--22 doi: 10.1002/sim.70265 start: e70265 repository: https://zirenjiang.r-universe.dev repository-code: https://github.com/ZirenJiang/refundBayes commit: 6b7bc72f6dffc9d1b34cd7ed4389b002c6f13f96 url: https://zirenjiang.github.io/refundBayes/ date-released: '2026-05-11' contact: - family-names: Jiang given-names: Ziren email: jian0746@umn.edu