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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

To cite EBcoBART in publications, please use:

Goedhart J, Klausch T, Janssen J, van de Wiel M (2025). “Adaptive Use of Co-Data Through Empirical Bayes for Bayesian Additive Regression Trees.” Statistics in Medicine, 44(5), e70004. doi:10.1002/sim.70004, https://doi.org/10.1002/sim.70004.

Goedhart J, Klausch T, van de Wiel M (2025). EBcoBART: Co-Data Learning for Bayesian Additive Regression Trees. R package version 1.1.2, https://CRAN.R-project.org/package=dbarts.

Corresponding BibTeX entries: 

  @Article{,
    title = {Adaptive Use of Co-Data Through Empirical Bayes for
      Bayesian Additive Regression Trees},
    author = {Jeroen M. Goedhart and Thomas Klausch and Jurriaan
      Janssen and Mark A. {van de Wiel}},
    year = {2025},
    journal = {Statistics in Medicine},
    volume = {44},
    number = {5},
    pages = {e70004},
    doi = {10.1002/sim.70004},
    url = {https://doi.org/10.1002/sim.70004},
  }

  @Manual{,
    title = {EBcoBART: Co-Data Learning for Bayesian Additive
      Regression Trees},
    author = {Jeroen M. Goedhart and Thomas Klausch and Mark A. {van de
      Wiel}},
    year = {2025},
    note = {R package version 1.1.2},
    url = {https://CRAN.R-project.org/package=dbarts},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.