<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Bayesian Regression with Functional Data</dc:title>
  <dc:title>R package refundBayes version 0.5</dc:title>
  <dc:description>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"
    &lt;doi:10.1002/sim.70265&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6.0)</dc:relation>
  <dc:relation>Imports: brms, dplyr, ggplot2 (&gt;= 2.0.0), mgcv, refund, rstan (&gt;=
2.29.0), splines2, stats</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Ziren Jiang &lt;jian0746@umn.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ziren Jiang [aut, cre],
  Erjia Cui [aut],
  Ciprian Crainiceanu [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-04-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=refundBayes</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.refundBayes</dc:identifier>
</oai_dc:dc>
