R Observatory: Metrics for ebm version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ebm

0.1.0Package record

Explainable Boosting Machines

0packages depend

2.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Brandon M. GreenwellCRAN page ↗GitHub ↗Website ↗

An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) doi:10.48550/arXiv.1909.09223 for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.

Changes in 0.1.0

Initial release (GitHub only, for now).

From NEWS.md in the release

Install

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

install.packages("ebm", 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("bgreenwell/ebm")

Development version from bgreenwell/ebm. 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-ebm

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-ebm

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-ebm

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: 2.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 86 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsiteYes · pkgdown

Help pages: 9 (1 internal)includes a package overview page
Examples that run: 0%2 never run
Exported functions with examples: 25%
Documented parameters: 99%
Return-value docs: 75%
Help pages citing references: 0%

Vignettes (2)

Introduction to ebm HTML
ebm-introduction PDF

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #18,614 · ~7/day · ~198/mo

Releases R versions

Daily download trend is not available in this view yet.

23230 days

70690 days

2.4K1 year

Compare downloads with other packages →

Also on72 r2u7 autocran

How downloads are counted

Repository

bgreenwell/ebm ↗Account: bgreenwell

5Stars

1Forks

0Open issues

0Open PRs

0Releases

46Commits

1Commit identities

interpretabilityinterpretable-machine-learningmachine-learningxaiaiblackboxexplainable-aiexplainable-machine-learning

46 commits · Last activity 2025-03-06 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 243
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-08-19 · 42026-07-07 · 5

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/bgreenwell/ebm on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

pkgdown

GitHub Pages site last deployed 2025-03-06

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing ebm adds 25 packages (13 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, reticulate 1.6 MB.

Depends (1)

R >= 3.5.0

Imports (3)

reticulate ggplot2lattice

LinkingTo (0)

none

Suggests (5)

htmltools ISLR2 knitr rmarkdown rstudioapi

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)

Brandon M. Greenwell

Author, Maintainer since 0.1.0 (2025)

Listed in earlier versions (1)

Brandon Greenwell

no longer listed · 0.1.0

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.0Latest
record
2025-03-05 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-03-05
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Download size: 854 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ebm")

Format

Greenwell, B. M. (2025). ebm: Explainable Boosting Machines (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ebm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 ebm version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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