R Observatory: Metrics for SuperLearner version 2.0-42

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SuperLearner

2.0-42Package record

Super Learner Prediction

34packages dependsuggested by 16

126.3Kdownloads / year

44.6%test coverage

13/13flavors OK

Overview

About

Maintained by Eric PolleyCRAN page ↗GitHub ↗

Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

Install

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

install.packages("SuperLearner", 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("ecpolley/SuperLearner")

Development version from ecpolley/SuperLearner. 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-superlearner

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-SuperLearner

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-SuperLearner

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: 3.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-30
ERROR9 OK, 3 ERROR, 1 FAILURE2026-07-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0-42

README· In the repository, left out of the releaseVignettesNoNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 46
Examples that run: 50%6 run in a plain check · 6 never run
Exported functions with examples: 26%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 20%

How these are measured

Downloads

126.3K

CRAN downloads in the past year

Rank #849 · ~346/day · ~10.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

22.3K30 days

52K90 days

126.3K1 year

Compare downloads with other packages →

Also on687 r2u4 autocran2.8K conda_forge176 c2d4u

How downloads are counted

Repository

ecpolley/superlearner ↗Account: ecpolley

294Stars

76Forks

16Open issues

4Open PRs

0Releases

514Commits

10Commit identities

514 commits · Last activity 2026-08-16 · 0% stars, 30d · The default branch showed an older version (2.0-40) than CRAN on 2026-10-18

Responsiveness

How these are sampled

PRs merged (all time): 87%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-10-07 · 2832026-07-14 · 294

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/ecpolley/superlearner on 2026-10-18.

Continuous integration (1)

AppVeyor

Coverage (1)

Coverage reporting (Codecov)

Reproducibility and dev environment (1)

Makefile

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

Dependencies

Declared dependencies

38 external dependencies (excludes base and recommended)

Installing SuperLearner adds 12 packages (7 with compiled code, 12 MB of source tarballs). Heaviest: data.table 5.7 MB, gplots 4.6 MB, rlang 766 KB.

Depends (3)

R >= 2.14.0gam nnls

Imports (3)

cvAUCmethodsrlang

LinkingTo (0)

none

Suggests (39)

arm bartMachine biglasso bigmemory caretclassdevtools e1071 earth gbm genefilter ggplot2 glmnet ipred KernelKnn kernlab knitrlatticeLogicRegMASSmlbench nloptrnnetparty polspline prettydoc quadprog randomForest ranger RhpcBLASctl ROCR rmarkdownrpartSIS speedglm spls sva testthat xgboost

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

34direct

8indirect

Depends 6 · Imports 28

Suggested by 16

Show the 48 most downloaded packagesHide the 48 most downloaded packages

Depends, Imports or LinkingTo, most downloaded first

Suggests, most downloaded first

riskRegression WeightIt hal9001 targeted polle futurize medflex nestedcv ltmle gKRLS vglmer causaldef MRTAnalysis psAve

and 2 more packages that suggest it on CRAN ↗

How these are counted

Code & Tests

People & History

People (5)

Eric Polley

Author, Maintainer since 2.0-4 (2011)

Chris Kennedy

Author · added in 2.0-21

Erin LeDell

Author · added in 2.0-19

Mark van der Laan

Author, Thesis advisor

Sam Lendle

Contributor · added in 2.0-21

Releases (22)

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
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
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
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
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
3.0.2Latest
record
2013-09-03 · current release · diff ↗
R
R 3.0.0 released · 2013-04-03
2.15.2
record
2012-09-10 · diff ↗

Show 23 earlier eventsHide 23 earlier events

R
R 2.15.0 released · 2012-03-30
2.14.2
record
2012-02-29 · diff ↗
R
R 2.14.0 released · 2011-10-31
2.13.2
record
2011-08-05 · diff ↗ ·
added 1 export
pattern:^[^\\.]
2.0-42
record
2026-09-14 · diff ↗
2.0-41
record
2025-12-21 · diff ↗
2.0-40
record
2025-12-21 · diff ↗
2.0-29
record
2024-02-20 · diff ↗
2.0-28.1
record
2023-07-18 · diff ↗
2.0-28
record
2021-05-10 · diff ↗
2.0-26
record
2019-12-10 · diff ↗
2.0-25
record
2019-08-10 · diff ↗
2.0-24
record
2018-08-11 · diff ↗
2.0-23
record
2018-03-12 · diff ↗
2.0-22
record
2017-07-19 · diff ↗
2.0-21
record
2016-12-01 · diff ↗
2.0-19
record
2016-02-04 · diff ↗
2.0-15
record
2014-07-21 · diff ↗
2.0-10
record
2013-09-03 · diff ↗
2.0-9
record
2012-09-11 · diff ↗
2.0-6
record
2012-03-01 · diff ↗
2.0-4
record
2011-09-27
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-08-05
Total releases: 22 / 15 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.14.0
Download size: 87 KB

Appears in task views

Bayesian Inference Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SuperLearner")

Format

Polley, E., Kennedy, C., LeDell, E., Lendle, S., & van der Laan, M. (2026). SuperLearner: Super Learner Prediction (Version 2.0-42) [Computer software]. https://doi.org/10.32614/CRAN.package.SuperLearner

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 SuperLearner version 2.0-42 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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