R Observatory: Metrics for caretEnsemble version 4.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

caretEnsemble

4.0.2Package record

Ensembles of Caret Models

2packages dependsuggested by 2

36.8Kdownloads / year

100.0%test coverage

13/13flavors OK

Overview

About

Maintained by Zachary A. Deane-MayerCRAN page ↗GitHub ↗Website ↗Issues ↗

Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model.

Changes in 4.0.2

New Features

Add option to keep resamples for each repeated fold in caretStack and caretList, rather than aggregating to one resample per row in the original data. This can give your stacking model more variance to work with, but can lead to a lot more issues with aligning predictions from different models, particularly ones that use different resampling strategies.
Add an option to include original features from the raw data in the stack, if stacking on a new dataset rather than on stacked predictions.
Add plot_variable_importance() to visualize variable importance for caretStack and caretEnsemble models.

From NEWS.md in the release

Install

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

install.packages("caretEnsemble", 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("zachmayer/caretEnsemble")

Development version from zachmayer/caretEnsemble. 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-caretensemble

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-caretEnsemble

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-caretEnsemble

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: 7.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-03
ERROR13 OK, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 4.0.2

README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 4.0.2Citation fileNoWebsiteYes · pkgdown

Help pages: 67 (27 internal)includes a package overview page
Examples that run: 100%11 run in a plain check
Exported functions with examples: 29%
Documented parameters: 97%
Return-value docs: 64%
Help pages citing references: 1%

Vignettes (2)

A Brief Introduction to caretEnsemble HTML
Version 4.0 New Features HTML

How these are measured

Downloads

36.8K

CRAN downloads in the past year

Rank #2,466 · ~101/day · ~3.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.7K30 days

6.4K90 days

36.8K1 year

Compare downloads with other packages →

Also on648 r2u24 autocran3.2K conda_forge

How downloads are counted

Repository

zachmayer/caretensemble ↗Account: zachmayer

229Stars

75Forks

5Open issues

10Open PRs

8Releases

617Commits

13Commit identities

617 commits · Last activity 2026-07-08 · 0% stars, 30d · Default branch at 4.0.3, ahead of CRAN 4.0.2 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 87%
Median days to close, 50 most recently updated closed issues: 1,160
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-09-13 · 2282026-07-07 · 229

How these are measured

PracticesBeta

17 development-tooling and community-health practices detected across 9 families in the upstream repository

Checks run against github.com/zachmayer/caretensemble on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Governance and community (4)

Contributing guideIssue templatesFunding

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-07-08 · The repository has a site deploy workflow

pkgdown site last built 2026-07-08

Coverage (1)

Coverage reporting

Show all practicesHide 5 practices

Reproducibility and dev environment (1)

Makefile

CRAN release process (2)

cran-comments.mdrevdep/

Automation and maintenance (1)

Dependabot

Lint, format, editor (2)

lintrRStudio project

Git structural (1)

.gitattributes

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

OpenHandsfirst seen 2024-11-28
Named in .Rbuildignore: .openhands_instructions
Pull request it wrote: opened by a project member
Commits: at least 2 crediting it in the message
Aiderfirst seen 2024-11-30
Named in .gitignore: .aider*
Claude Codefirst seen 2026-04-01
Named in .Rbuildignore: .claude, CLAUDE.md
Pull request it wrote: opened by a project member
Commits: at least 12 crediting it in the message

Review tools

CodeRabbit
Seen in the repository: .coderabbit.yaml
Named in .Rbuildignore: .coderabbit.yaml

Models named in its commits

Claude Opus 4.810 commits · Jun to Jul 2026
Claude Opus 4.61 commit · Apr 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

29 external dependencies (excludes base and recommended)

Installing caretEnsemble adds 65 packages (34 with compiled code, 51 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (8)

caret data.table ggplot2latticemethodspatchwork pbapply rlang

LinkingTo (0)

none

Suggests (27)

MASScaTools covr earth gbm glmnet klaR knitr lintrmgcvmlbenchnnetrandomForest rmarkdown rhubrpartspelling testthat usethis devtools roxygen2 xml2 htmltools DT pkgdown rcmdcheck cyclocomp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Suggested by 2

Depends, Imports or LinkingTo, most downloaded first

spect SLOS

Suggests, most downloaded first

riskutility writeAlizer

How these are counted

Code & Tests

Datasets

People & History

People (3)

Zachary A. Deane-Mayer

Jared E. Knowles

Contributor

Antón López

Contributor · added in 4.0.0

Listed in earlier versions (2)

Zachary A.

no longer listed · 1.0.0 to 4.0.2

Jared E.

no longer listed · 1.0.0 to 4.0.2

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
4.0.2Latest
record
2024-09-12 · current release · diff ↗ ·
added 1 export
plot_variable_importance
4.0.1
record
2024-09-12 · diff ↗
4.0.0
record
2024-08-17 · diff ↗ ·
removed 8 exports
autoplot, getBinaryTargetLevel, getMetric, getMetricSD, is.caretEnsemble, is.caretList, is.caretStack, setBinaryTargetLevel

added 8 exports
defaultControl, defaultMetric, extractMetric, greedyMSE, greedyMSE_caret, permutationImportance, tuneCheck, wtd.sd
R
R 4.4.0 released · 2024-04-24
2.0.3
record
2023-09-20 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.0.2
record
2023-02-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
2.0.1
record
2019-12-12 · diff ↗ ·
added 3 exports
as.caretList, getBinaryTargetLevel, setBinaryTargetLevel
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21

Show 5 earlier eventsHide 5 earlier events

R
R 3.3.0 released · 2016-05-03
2.0.0
record
2016-02-07 · diff ↗ ·
removed 3 exports
greedOptAUC, greedOptRMSE, safeOptAUC

added 5 exports
autoplot, getMetricSD, is.caretEnsemble, is.caretList, is.caretStack
R
R 3.2.0 released · 2015-04-16
1.0.0
record
2015-01-16
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2015-01-16
Total releases: 8 / 11 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.5 MB / 6 files
Download size: 1.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("caretEnsemble")

Format

Deane-Mayer, Z. A., Jared E. Knowles, & López, A. (2026). caretEnsemble: Ensembles of Caret Models (Version 4.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.caretEnsemble

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 caretEnsemble version 4.0.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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