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randomForestSGT: Random Forest Super Greedy Trees

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) <doi:10.1007/s10462-026-11541-6>.

Version: 1.0.0
Depends: R (≥ 4.3.0)
Imports: randomForestSRC (≥ 3.6.2), varPro (≥ 3.1.0)
Suggests: mlbench, interp, glmnet
Published: 2026-05-11
DOI: 10.32614/CRAN.package.randomForestSGT
Author: Min Lu [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk at kogalur.com>
BugReports: https://github.com/kogalur/randomForestSGT/issues/
License: GPL (≥ 3)
URL: https://ishwaran.org/
NeedsCompilation: yes
Citation: randomForestSGT citation info
Materials: NEWS
CRAN checks: randomForestSGT results

Documentation:

Reference manual: randomForestSGT.html , randomForestSGT.pdf

Downloads:

Package source: randomForestSGT_1.0.0.tar.gz
Windows binaries: r-devel: randomForestSGT_1.0.0.zip, r-release: randomForestSGT_1.0.0.zip, r-oldrel: randomForestSGT_1.0.0.zip
macOS binaries: r-release (arm64): randomForestSGT_1.0.0.tgz, r-oldrel (arm64): randomForestSGT_1.0.0.tgz, r-release (x86_64): randomForestSGT_1.0.0.tgz, r-oldrel (x86_64): randomForestSGT_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=randomForestSGT 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.