Package: EBcoBART
Title: Co-Data Learning for Bayesian Additive Regression Trees
Version: 1.1.2
Authors@R: 
    c(person(c("Jeroen", "M."), "Goedhart", , "jeroengoed@gmail.com", role = c("aut", "cre", "cph"),
      comment = c(ORCID = "0000-0003-0134-1897")),
      person("Thomas", "Klausch", role = "aut"),
      person(c("Mark","A."), "van de Wiel", role = "aut"),
      person("Vincent", "Dorie", role = "ctb", comment = "Author of 'dbarts' 'R' package and auxiliary function getDepth"),
      person("Hanarth Fonds", role = "fnd"))
Description: Estimate prior variable weights for Bayesian Additive
        Regression Trees (BART). These weights correspond to the
        probabilities of the variables being selected in the splitting
        rules of the sum-of-trees. Weights are estimated using
        empirical Bayes and external information on the explanatory
        variables (co-data). BART models are fitted using the 'dbarts'
        'R' package. See Goedhart and others (2023)
        <doi:10.1002/sim.70004> for details.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/JeroenGoedhart/EBcoBART
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: dbarts, loo, posterior, univariateML, extraDistr, graphics
Depends: R (>= 2.10)
LazyData: true
Config/pak/sysreqs: cmake make
Repository: https://jeroengoedhart.r-universe.dev
Date/Publication: 2025-08-05 13:17:24 UTC
RemoteUrl: https://github.com/jeroengoedhart/ebcobart
RemoteRef: HEAD
RemoteSha: c0c9f778179c6b6ef44a977b0cb5e5a524db04a9
NeedsCompilation: no
Packaged: 2026-06-17 07:30:10 UTC; root
Author: Jeroen M. Goedhart [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-0134-1897>),
  Thomas Klausch [aut],
  Mark A. van de Wiel [aut],
  Vincent Dorie [ctb] (Author of 'dbarts' 'R' package and auxiliary
    function getDepth),
  Hanarth Fonds [fnd]
Maintainer: Jeroen M. Goedhart <jeroengoed@gmail.com>