# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "randomForestSGT" in publications use:' type: software license: GPL-3.0-or-later title: 'randomForestSGT: Random Forest Super Greedy Trees' version: 1.0.0 identifiers: - type: doi value: 10.32614/CRAN.package.randomForestSGT abstract: 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) . authors: - family-names: Lu given-names: Min email: luminwin@gmail.com - family-names: Kogalur given-names: Udaya B. email: ubk@kogalur.com - family-names: Ishwaran given-names: Hemant email: hemant.ishwaran@gmail.com preferred-citation: type: manual title: Random Forest Super Greedy Trees authors: - family-names: Ishwaran given-names: H. - family-names: Kogalur given-names: U.B. publisher: name: manual year: '2026' notes: R package version 1.0.0 url: https://cran.r-project.org/package=randomForestSGT repository: https://cran.r-universe.dev repository-code: https://github.com/kogalur/randomForestSGT/issues/ commit: 88e4c8b2c806aef6f85fccf639c87cb8458b2bc5 url: https://ishwaran.org/ date-released: '2026-05-05' contact: - family-names: Kogalur given-names: Udaya B. email: ubk@kogalur.com