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FusionForests  

Bayesian Tree Ensembles for Data Fusion and Causal Inference
View on CRAN: Click here


Download and install FusionForests package within the R console
Install from CRAN:
install.packages("FusionForests")

Install from Github:
library("remotes")
install_github("cran/FusionForests")

Install by package version:
library("remotes")
install_version("FusionForests", "1.0.1")



Attach the package and use:
library("FusionForests")
Maintained by
Tijn Jacobs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-09
Latest Update: 2026-08-09
Description:
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.
How to cite:
Tijn Jacobs (2026). FusionForests: Bayesian Tree Ensembles for Data Fusion and Causal Inference. R package version 1.0.1, https://cran.r-project.org/web/packages/FusionForests. Accessed 04 Oct. 2026.
Previous versions and publish date:
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Complete documentation for FusionForests
Functions, R codes and Examples using the FusionForests R package
Full FusionForests package functions and examples
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