figsr: Fast Interpretable Greedy-Tree Sums for Tree Ensembles
Flexible, interpretable machine learning algorithm for additive
tree sums ('FIGS'). Fits a sum of shallow 'Classification and Regression
Trees' ('CART') by greedily minimizing residual impurity, growing a new
tree or deepening an existing one at each step, whichever reduces the
residuals most. Supports regression and two-class classification, variable
importance, bootstrap ensembling and seamless integration with 'parsnip'
and 'tidymodels' workflows. The method is described in Tan et al. (2023)
<doi:10.1073/pnas.2310151122>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
dials, graphics, parsnip, rlang, stats, tibble |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-08-31 |
| DOI: |
10.32614/CRAN.package.figsr (may not be active yet) |
| Author: |
João Paulo Assis Bonifácio
 [aut, cre,
cph],
Geraldo Magela da Cruz Pereira
[aut, cph],
Pedro Mambelli Fernandes
[aut, cph],
João Vitor Andrade Alves de Souza
[aut, cph] |
| Maintainer: |
João Paulo Assis Bonifácio <jpab.27 at hotmail.com> |
| BugReports: |
https://github.com/bonijoao/figsr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/bonijoao/figsr |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
figsr results |
Documentation:
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