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randomForestSGT  

Random Forest Super Greedy Trees
View on CRAN: Click here


Download and install randomForestSGT package within the R console
Install from CRAN:
install.packages("randomForestSGT")

Install from Github:
library("remotes")
install_github("cran/randomForestSGT")

Install by package version:
library("remotes")
install_version("randomForestSGT", "1.0.0")



Attach the package and use:
library("randomForestSGT")
Maintained by
Udaya B. Kogalur
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-11
Latest Update: 2026-05-11
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) <doi:10.1007/s10462-026-11541-6>.
How to cite:
Udaya B. Kogalur (2026). randomForestSGT: Random Forest Super Greedy Trees. R package version 1.0.0, https://cran.r-project.org/web/packages/randomForestSGT. Accessed 10 Nov. 2026.
Previous versions and publish date:
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Complete documentation for randomForestSGT
Functions, R codes and Examples using the randomForestSGT R package
Full randomForestSGT package functions and examples
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