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randomForestSGT

Random Forest Super Greedy Trees

v1.0.0 · May 11, 2026 · GPL (>= 3)

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>.

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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Packages required but not available: 'randomForestSRC', 'varPro'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 12, 2026

Dependency Network

Dependencies Reverse dependencies randomForestSRC varPro randomForestSGT

Version History

1 tracked
new 1.0.0 May 11, 2026