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: FusionForests_1.0.1.zip
macOS binaries:	r-release (arm64): FusionForests_1.0.1.tgz, r-oldrel (arm64): FusionForests_1.0.1.tgz, r-release (x86_64): FusionForests_1.0.1.tgz, r-oldrel (x86_64): FusionForests_1.0.1.tgz

Linking:

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