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ROOT: Rashomon Set of Optimal Trees

Implements a general framework for globally optimizing user-specified objective functionals over interpretable binary weight functions represented as sparse decision trees, called ROOT (Rashomon Set of Optimal Trees). It searches over candidate trees to construct a Rashomon set of near-optimal solutions and derives a summary tree highlighting stable patterns in the optimized weights. ROOT includes a built-in generalizability mode for identifying subgroups in trial settings for transportability analyses (Parikh et al. (2025) <doi:10.1080/01621459.2025.2495319>).

Version: 0.1.1
Depends: R (≥ 3.5)
Imports: MASS, rpart, gbm, stats, withr, rpart.plot
Suggests: mlbench, testthat (≥ 3.0.0), knitr, rmarkdown, ragg
Published: 2026-03-10
DOI: 10.32614/CRAN.package.ROOT (may not be active yet)
Author: Yiren Hou ORCID iD [aut] (Equal contribution), Peter Liu [aut, cre] (0009-0000-2691-5637, Equal contribution), Sean McGrath ORCID iD [aut], Harsh Parikh ORCID iD [aut]
Maintainer: Peter Liu <bliu68 at jh.edu>
BugReports: https://github.com/peterliu599/ROOT/issues
License: MIT + file LICENSE
URL: https://github.com/peterliu599/ROOT
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ROOT results

Documentation:

Reference manual: ROOT.html , ROOT.pdf
Vignettes: Generalizability Path Example: Characterizing Underrepresented Populations (source, R code)
Optimization Path Example: Portfolio Selection via Variance Minimization (source, R code)
Quickstart Guide to ROOT (source, R code)

Downloads:

Package source: ROOT_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ROOT_0.1.1.tgz, r-oldrel (arm64): ROOT_0.1.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ROOT to link to this page.

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.
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