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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: |
0.1.1 |
| 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 |
| 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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=figsr
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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