R Observatory: Metrics for ensembleML version 0.2.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ensembleML

0.2.5Package record

Unified Interface for Ensemble Machine Learning Methods

0packages depend

1.5Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Sadikul IslamCRAN page ↗

Provides a clean, unified interface for training, predicting, and evaluating ensemble machine learning models including Random Forest, Gradient Boosting ('XGBoost'), 'AdaBoost', and 'Bagging'. All algorithms share a consistent API: em_fit(), em_predict(), em_evaluate(), and em_tune(). Includes built-in cross-validation, feature importance, calibration diagnostics, partial dependence plots, and model comparison utilities. Methods: Breiman (2001) doi:10.1023/A:1010933404324; Chen and Guestrin (2016) doi:10.1145/2939672.2939785; Freund and Schapire (1997) doi:10.1006/jcss.1997.1504; Breiman (1996) doi:10.1007/BF00058655.

Install

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

install.packages("ensembleML", 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-ensembleml

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-ensembleML

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-ensembleML

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: 1.8 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK11 OK2026-06-09
ERROR10 OK, 1 ERROR2026-06-08
OK7 OK2026-06-06

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.5

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 13includes a package overview page
Examples that run: 50%5 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 83%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 8%

Vignettes (1)

Getting Started with ensembleML HTML

How these are measured

Downloads

1.5K

CRAN downloads in the past year

Rank #12,416 · ~4/day · ~122/mo

Releases R versions

Daily download trend is not available in this view yet.

32830 days

89790 days

1.5K1 year

Compare downloads with other packages →

Also on21 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing ensembleML adds 73 packages (41 with compiled code, 52 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (7)

randomForest xgboost adabag ggplot2 rlangstatsutils

LinkingTo (0)

none

Suggests (6)

pROC gridExtra testthat knitr rmarkdown mlbench

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Sadikul Islam

Author, Maintainer since 0.2.5 (2026)

Releases (1)

0.2.5Latest
record
2026-06-05 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-05
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 48 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ensembleML")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1023/a:1010933404324, 10.1145/2939672.2939785, 10.1006/jcss.1997.1504, 10.1007/bf00058655.

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 ensembleML version 0.2.5 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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