refundBayes: Bayesian Regression with Functional Data

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" <doi:10.1002/sim.70265>.

Version:	0.5
Depends:	R (≥ 3.6.0)
Imports:	brms, dplyr, ggplot2 (≥ 2.0.0), mgcv, refund, rstan (≥ 2.29.0), splines2, stats
Suggests:	knitr, rmarkdown
Published:	2026-04-02
DOI:	10.32614/CRAN.package.refundBayes
Author:	Ziren Jiang [aut, cre], Erjia Cui [aut], Ciprian Crainiceanu [ctb]
Maintainer:	Ziren Jiang <jian0746 at umn.edu>
BugReports:	https://github.com/ZirenJiang/refundBayes/issues
License:	GPL-2
URL:	https://github.com/ZirenJiang/refundBayes
NeedsCompilation:	no
Materials:	README
CRAN checks:	refundBayes results [issues need fixing before 2026-04-27]

Documentation:

Reference manual:	refundBayes.html , refundBayes.pdf
Vignettes:	Bayesian Scalar-on-Function Regression (source, R code)

Downloads:

Package source:	refundBayes_0.5.tar.gz
Windows binaries:	r-devel: refundBayes_0.5.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): refundBayes_0.5.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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