Package: randomForestSGT Version: 1.0.0 Date: 2026-05-05 Title: Random Forest Super Greedy Trees Authors@R: c(person("Min", "Lu", email = "luminwin@gmail.com", role = "aut"), person("Udaya B.", "Kogalur", email = "ubk@kogalur.com", role = c("aut", "cre")), person("Hemant", "Ishwaran", email = "hemant.ishwaran@gmail.com", role = "aut")) Author: Min Lu [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut] Maintainer: Udaya B. Kogalur BugReports: https://github.com/kogalur/randomForestSGT/issues/ Depends: R (>= 4.3.0) Imports: randomForestSRC (>= 3.6.2), varPro (>= 3.1.0) Suggests: mlbench, interp, glmnet Description: Implements random forest Super Greedy Trees (SGTs) for regression. SGTs extend classification and regression tree splitting by fitting lasso-penalized local parametric models at tree nodes, producing sparse univariate and multivariate geometric cuts such as axis-aligned splits, hyperplanes, ellipsoids, hyperboloids, and interaction-based cuts. Trees are grown best-split-first by selecting cuts that reduce empirical risk, and ensembles provide out-of-bag error estimation, prediction on new data, variable filtering, tuning of the hcut complexity parameter, coordinate-descent lasso fitting, variable importance, and local coefficient summaries. For the underlying method, see Ishwaran (2026) . License: GPL (>= 3) URL: https://ishwaran.org/ NeedsCompilation: yes Packaged: 2026-10-09 13:04:43 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-05-11 20:09:30 UTC RemoteUrl: https://github.com/cran/randomForestSGT RemoteRef: HEAD RemoteSha: 88e4c8b2c806aef6f85fccf639c87cb8458b2bc5