FusionForests: Bayesian Tree Ensembles for Data Fusion and Causal Inference
Bayesian tree ensemble models for data fusion and causal inference. The main model FusionForest() combines data from a randomised controlled trial and an observational study using separate tree forests, allowing for unmeasured confounding in the observational data. Continuous and (interval-)censored survival outcomes are supported. Posterior summaries of treatment effect estimates and interpretable linear projections are provided.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, ShrinkageTrees |
| LinkingTo: | Rcpp (≥ 1.0.11) |
| Suggests: | survival, testthat (≥ 3.0.0) |
| Published: | 2026-08-09 |
| DOI: | 10.32614/CRAN.package.FusionForests (may not be active yet) |
| Author: | Tijn Jacobs  [aut,
cre] |
| Maintainer: | Tijn Jacobs <t.jacobs at vu.nl> |
| BugReports: | https://github.com/tijn-jacobs/FusionForests/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/tijn-jacobs/FusionForests |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | FusionForests results |
Documentation:
| Reference manual: | FusionForests.html , FusionForests.pdf |
Downloads:
| Package source: | FusionForests_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): FusionForests_1.0.1.tgz, r-oldrel (arm64): FusionForests_1.0.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): FusionForests_1.0.1.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=FusionForests to link to this page.