R Observatory: Metrics for FusionForests version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FusionForests

1.0.1

Bayesian Tree Ensembles for Data Fusion and Causal Inference

0packages depend

22downloads / year

47.3%test coverage

8/8checks pass

Overview

About

Maintained by Tijn JacobsFirst published 2026-08-091 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Fedora (COPR)openSUSE (OBS)

install.packages("FusionForests", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tijn-jacobs/FusionForests")

Development version from tijn-jacobs/FusionForests. Installs pak first if it is not already available.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FusionForests

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FusionForests

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

8OK

Slowest check: 3.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.27

47.3%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-10
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 558 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 69%
Return-value docs: 83%
References docs: 20%

Downloads

22

CRAN downloads in the past year

Rank #24,902 · ~0/day · ~2/mo

FusionForests Releases R versions

Daily download trend is not available in this view yet.

2230 days

2290 days

221 year

Compare downloads with other packages →

Repository

GitHub ↗ tijn-jacobs/fusionforests

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-08-05

Repository practices

Upstream repositoryBeta

Repository github.com/tijn-jacobs/fusionforests is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (2)

Rcpp ShrinkageTrees

LinkingTo (1)

Rcpp

Suggests (2)

survivaltestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Tijn Jacobs

Author, Maintainer

Authors (1)

Tijn Jacobs

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

1.0.1Latest
2026-08-09 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-09
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FusionForests")

Format

Jacobs, T. (2026). FusionForests: Bayesian Tree Ensembles for Data Fusion and Causal Inference (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FusionForests

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FusionForests version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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