Package: FusionForests Type: Package Title: Bayesian Tree Ensembles for Data Fusion and Causal Inference Version: 1.0.1 Date: 2026-08-01 Authors@R: c(person("Tijn", "Jacobs", role = c("aut", "cre"), email = "t.jacobs@vu.nl", comment = c(ORCID = "0009-0003-6188-9296"))) Maintainer: Tijn Jacobs 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. URL: https://github.com/tijn-jacobs/FusionForests BugReports: https://github.com/tijn-jacobs/FusionForests/issues License: MIT + file LICENSE Depends: R (>= 3.5.0) Imports: Rcpp, ShrinkageTrees LinkingTo: Rcpp (>= 1.0.11) Suggests: survival, testthat (>= 3.0.0) Roxygen: list(markdown = TRUE) Encoding: UTF-8 Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 RoxygenNote: 7.3.3 Repository: https://tijn-jacobs.r-universe.dev Date/Publication: 2026-10-14 13:24:40 UTC RemoteUrl: https://github.com/tijn-jacobs/fusionforests RemoteRef: HEAD RemoteSha: 5d46b9b4f25038530745e283a37e9a23166ee308 NeedsCompilation: yes Packaged: 2026-10-14 14:49:32 UTC; root Author: Tijn Jacobs [aut, cre] (ORCID: )