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treehunt: Evolutionary Search for Optimal Node Combinations in Trees

Provides Markov chain Monte Carlo (MCMC) sampling and genetic algorithms for searching combinations of nodes in hierarchical trees. Includes scores for binary outcomes, continuous outcomes, and recurrent events, with applications to pharmacovigilance and hospital data. Importance weighting estimates uniform combination score references from tempered MCMC samples and reports weight-based effective sample sizes. Computational routines are implemented in C++ via 'Rcpp'.

Version: 0.0.2
Imports: Rcpp (≥ 1.1.0), jsonlite, survival
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), umap, dbscan, ggplot2
Published: 2026-10-16
DOI: 10.32614/CRAN.package.treehunt
Author: Jules Bangard [aut, cre]
Maintainer: Jules Bangard <jules.bangard at etu.unistra.fr>
BugReports: https://github.com/JulesBa-Git/treehunt/issues
License: GPL-3
URL: https://github.com/JulesBa-Git/treehunt
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README, NEWS
CRAN checks: treehunt results

Documentation:

Reference manual: treehunt.html , treehunt.pdf

Downloads:

Package source: treehunt_0.0.2.tar.gz
Windows binaries: r-devel: treehunt_0.0.2.zip, r-release: treehunt_0.0.2.zip, r-oldrel: treehunt_0.0.2.zip
macOS binaries: r-release (arm64): treehunt_0.0.2.tgz, r-oldrel (arm64): treehunt_0.0.2.tgz, r-release (x86_64): treehunt_0.0.2.tgz, r-oldrel (x86_64): treehunt_0.0.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.