Package: ROOT Title: Rashomon Set of Optimal Trees Version: 0.2.1 Authors@R: c( person(given = "Yiren", family = "Hou", email = "yiren.hou@yale.edu", role = "aut", comment = c(ORCID = "0009-0005-0422-4268","Equal contribution")), person(given = "Peter", family = "Liu", email = "bliu68@jh.edu", role = c("aut","cre"), comment = c(ORCID = "0009-0000-2691-5637","Equal contribution")), person(given = "Sean", family = "McGrath", email = "sean.mcgrath514@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-7281-3516")), person(given = "Harsh", family = "Parikh", email = "harsh.parikh@yale.edu", role = "aut", comment = c(ORCID = "0000-0003-1927-8646")) ) Description: 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) ). License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) Suggests: mlbench, testthat (>= 3.0.0), knitr, rmarkdown, ragg Config/testthat/edition: 3 Imports: MASS, rpart, gbm, stats, withr, rpart.plot URL: https://github.com/peterliu599/ROOT BugReports: https://github.com/peterliu599/ROOT/issues VignetteBuilder: knitr Depends: R (>= 3.5) LazyData: true NeedsCompilation: no Config/roxygen2/version: 8.1.1 Repository: https://peterliu599.r-universe.dev Date/Publication: 2026-10-21 19:34:04 UTC RemoteUrl: https://github.com/peterliu599/root RemoteRef: HEAD RemoteSha: 46b98c4c7e650320a1b533468a96a59fa47835ba Packaged: 2026-10-21 21:04:02 UTC; root Author: Yiren Hou [aut] (ORCID: , Equal contribution), Peter Liu [aut, cre] (ORCID: , Equal contribution), Sean McGrath [aut] (ORCID: ), Harsh Parikh [aut] (ORCID: ) Maintainer: Peter Liu