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:	0.6.0
Depends:	R (≥ 3.6.0)
Imports:	ggplot2 (≥ 2.0.0), mgcv, refund, rstan (≥ 2.29.0), splines2, stats
Suggests:	knitr, rmarkdown
Published:	2026-05-08
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://zirenjiang.github.io/refundBayes/, https://github.com/ZirenJiang/refundBayes
NeedsCompilation:	no
Citation:	refundBayes citation info
Materials:	README, NEWS
CRAN checks:	refundBayes results

Documentation:

Reference manual:	refundBayes.html , refundBayes.pdf
Vignettes:	Bayesian Functional Cox Regression (FCox) (source, R code) Bayesian Function-on-Function Regression (FoFR) (source, R code) Bayesian Function-on-Scalar Regression (FoSR) (source, R code) Bayesian Functional Principal Component Analysis (FPCA) (source, R code) Joint Modelling of Functional Regression and FPCA (source, R code) Bayesian Scalar-on-Function Regression (SoFR) (source, R code)

Downloads:

Package source:	refundBayes_0.6.0.tar.gz
Windows binaries:	r-devel: refundBayes_0.5.1.zip, r-release: refundBayes_0.5.1.zip, r-oldrel: refundBayes_0.5.1.zip
macOS binaries:	r-release (arm64): refundBayes_0.6.0.tgz, r-oldrel (arm64): refundBayes_0.6.0.tgz, r-release (x86_64): refundBayes_0.6.0.tgz, r-oldrel (x86_64): refundBayes_0.6.0.tgz
Old sources:	refundBayes archive

Linking:

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