R Observatory: Metrics for tgml version 0.5.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tgml

0.5.0

Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics

0packages depend

1.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Yunro ChungFirst published 2025-05-025 releasesCRAN page ↗

Generalization of the classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors machine learning model to each terminal node.

Install

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

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

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

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-tgml

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-tgml

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-tgml

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.8 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-06-08
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
11 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 100%

Downloads

1.7K

CRAN downloads in the past year

Rank #21,635 · ~5/day · ~145/mo

Releases R versions

Daily download trend is not available in this view yet.

11930 days

50890 days

1.7K1 year

Compare downloads with other packages →

Also on129 r2u1 autocran

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (7)

R >= 4.5.0glmnet randomForest e1071 pROCstatsgraphics

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Yunro Chung

Author, Maintainer

Authors (1)

Yunro Chung

Author, Maintainer

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

0.5.0Latest
2026-06-11 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.4.0
2026-01-22 · diff ↗
0.3.0
2025-12-11 · diff ↗
0.2.0
2025-09-24 · diff ↗
0.1.0
2025-05-02
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-05-02
Total releases: 5 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.5.0
Download size: 9.8 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tgml")

Format

Chung, Y. (2026). tgml: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics (Version 0.5.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tgml

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 tgml version 0.5.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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