R Observatory: Metrics for randomForestSGT version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

randomForestSGT

1.0.0Package record

Random Forest Super Greedy Trees

0packages depend

1.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Udaya B. KogalurCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 1.0.0

Initial release.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("randomForestSGT", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("kogalur/randomForestSGT")

Development version from kogalur/randomForestSGT. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-randomforestsgt

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-randomForestSGT

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-randomForestSGT

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.9 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK8 OK2026-05-12

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMENoVignettesNoNEWSYes · 67% structured · mentions 1.0.0Citation fileYes · computed when R runs itWebsiteYes

Help pages: 6 (1 internal)
Examples that run: 67%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 50%
Documented parameters: 89%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

1.8K

CRAN downloads in the past year

Rank #16,005 · ~5/day · ~151/mo

Releases R versions

Daily download trend is not available in this view yet.

25330 days

77590 days

1.8K1 year

Compare downloads with other packages →

Also on94 r2u3 autocran

How downloads are counted

Repository

kogalur/randomforestsgt ↗Account: kogalur

0Stars

1Forks

0Open issues

0Open PRs

0Releases

15Commits

1Commit identities

License file reads as GPL-3.0 · 15 commits · Last activity 2025-07-16 · The default branch showed an older version (0.0.1.74) than CRAN on 2026-10-18

Responsiveness

not measured

Forks over time

2026-05-28 · 12026-07-07 · 1

How these are measured

PracticesBeta

Checks run against github.com/kogalur/randomforestsgt on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing randomForestSGT adds 72 packages (38 with compiled code, 72 MB of source tarballs). Heaviest: stringi 11 MB, varPro 8.5 MB, bslib 5.6 MB.

Depends (1)

R >= 4.3.0

Imports (2)

randomForestSRC varPro

LinkingTo (0)

none

Suggests (3)

mlbench interp glmnet

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Udaya B. Kogalur

Author, Maintainer since 1.0.0 (2026)

Hemant Ishwaran

Author

Min Lu

Author

Releases (1)

1.0.0Latest
record
first seen 2026-05-11 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First seen: 2026-05-11
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.3.0
Download size: 166 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("randomForestSGT")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for randomForestSGT version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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