The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

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.
Health stats visible at Monitor.