Package: figsr Title: Fast Interpretable Greedy-Tree Sums for Tree Ensembles Version: 0.2.0 Authors@R: c( person("João Paulo", "Assis Bonifácio", email = "jpab.27@hotmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0009-2335-8391")), person("Geraldo Magela", "da Cruz Pereira", email = "geraldo.pereira@ufla.br", role = c("aut", "cph"), comment = c(ORCID = "0000-0001-6280-4870")), person("Pedro", "Mambelli Fernandes", role = c("aut", "cph"), comment = c(ORCID = "0009-0001-1695-279X")), person("João Vitor", "Andrade Alves de Souza", email = "joaovitor.alvez16@gmail.com", role = c("aut", "cph"), comment = c(ORCID = "0009-0006-2780-318X")) ) Description: 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, 'ggplot2' graphics, bootstrap ensembling and seamless integration with 'parsnip' and 'tidymodels' workflows. The method is described in Tan et al. (2023) . License: MIT + file LICENSE URL: https://bonijoao.github.io/figsr/, https://github.com/bonijoao/figsr BugReports: https://github.com/bonijoao/figsr/issues Depends: R (>= 4.1) Imports: dials, ggplot2 (>= 4.0.0), graphics, parsnip, rlang, stats, tibble Suggests: ggiraph, knitr, recipes, rmarkdown, testthat (>= 3.0.0), workflows VignetteBuilder: knitr, rmarkdown Config/testthat/edition: 3 Encoding: UTF-8 Language: en-US LazyData: true RoxygenNote: 7.3.3 NeedsCompilation: no Packaged: 2026-10-28 19:44:52 UTC; root Author: João Paulo Assis Bonifácio [aut, cre, cph] (ORCID: ), Geraldo Magela da Cruz Pereira [aut, cph] (ORCID: ), Pedro Mambelli Fernandes [aut, cph] (ORCID: ), João Vitor Andrade Alves de Souza [aut, cph] (ORCID: ) Maintainer: João Paulo Assis Bonifácio Repository: https://cran.r-universe.dev Date/Publication: 2026-10-28 03:20:02 UTC RemoteUrl: https://github.com/cran/figsr RemoteRef: HEAD RemoteSha: c5b0a6675f33a03d324a1aca660fb9a52724a9d2