R Observatory: Metrics for adabag version 5.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

adabag

5.1Package record

Applies Multiclass AdaBoost.M1, SAMME and Bagging

4packages dependsuggested by 3

79.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Esteban AlfaroCRAN page ↗

It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation estimation of the error can be done. Since version 2.0 the function margins() is available to calculate the margins for these classifiers. Also a higher flexibility is achieved giving access to the rpart.control() argument of 'rpart'. Four important new features were introduced on version 3.0, AdaBoost-SAMME (Zhu et al., 2009) is implemented and a new function errorevol() shows the error of the ensembles as a function of the number of iterations. In addition, the ensembles can be pruned using the option 'newmfinal' in the predict.bagging() and predict.boosting() functions and the posterior probability of each class for observations can be obtained. Version 3.1 modifies the relative importance measure to take into account the gain of the Gini index given by a variable in each tree and the weights of these trees. Version 4.0 includes the margin-based ordered aggregation for Bagging pruning (Guo and Boukir, 2013) and a function to auto prune the 'rpart' tree. Moreover, three new plots are also available importanceplot(), plot.errorevol() and plot.margins(). Version 4.1 allows to predict on unlabeled data. Version 4.2 includes the parallel computation option for some of the functions. Version 5.0 includes the Boosting and Bagging algorithms for label ranking (Albano, Sciandra and Plaia, 2023).

Install

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

install.packages("adabag", 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-adabag

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-adabag

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-adabag

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: 3.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 5.1

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 19 (1 internal)includes a package overview page
Examples that run: 88%15 run in a plain check · 2 never run
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 95%

How these are measured

Downloads

79.1K

CRAN downloads in the past year

Rank #1,757 · ~217/day · ~6.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.2K30 days

11.8K90 days

79.1K1 year

Compare downloads with other packages →

Also on327 r2u25 autocran1K conda_forge151 c2d4u

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing adabag adds 70 packages (39 with compiled code, 51 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (5)

R >= 4.0.0rpartcaret foreach doParallel

Imports (4)

methodstidyr dplyr ConsRank

LinkingTo (0)

none

Suggests (1)

mlbench

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

3indirect

Depends 1 · Imports 3

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

rminer traineR LogisticEnsembles ensembleML

Suggests, most downloaded first

mlr MachineShop daltoolbox

How these are counted

Code & Tests

Datasets

People & History

People (7)

Esteban Alfaro

Author, Maintainer · added in 5.1

Matias Gamez

Author · added in 5.1

Noelia Garcia

Author · added in 5.1

A. Albano

Contributor · added in 5.0

L. Guo

Contributor · added in 5.1

A. Plai

Contributor · added in 5.1

M. Sciandra

Contributor · added in 5.0

Maintainer since at least 1.1 (2007)

Listed in earlier versions (15)

Show 8 of 15 peopleHide 8 people

Esteban Alfaro Cortes

no longer listed · 1.1 to 2.1

Matias Gamez Martinez

no longer listed · 1.1 to 2.1

Noelia Garcia Rubio

no longer listed · 1.1 to 2.1

Alfaro-Cortes

no longer listed · 3.0 to 3.1

Esteban

no longer listed · 3.0 to 5.0

Gamez-Martinez

no longer listed · 3.0 to 3.1

Garcia-Rubio

no longer listed · 3.0 to 3.1

Matias

no longer listed · 3.0 to 5.0

Releases (13)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
5.1Latest
record
2025-07-28 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
5.0
record
2023-05-31 · diff ↗ ·
added 1 export
pattern:bagging, bagging.cv, boosting, boosting.cv, errorevol, margins, autoprune,MarginOrderedPruning.Bagging, importanceplot, prep.data, Ensemble_ranking_IW, errorevol_ranking_vector_IW
4.3
record
2023-05-01 · diff ↗
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
4.2
record
2018-01-19 · diff ↗
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
4.1
record
2015-10-14 · diff ↗ ·
removed 1 export
pattern:bagging, bagging.cv, boosting, boosting.cv, errorevol, margins, autoprune,MarginOrderedPruning.Bagging, importanceplot

Show 24 earlier eventsHide 24 earlier events

R
R 3.2.0 released · 2015-04-16
4.0
record
2014-12-21 · diff ↗ ·
removed 1 export
pattern:bagging, bagging.cv, boosting, boosting.cv, errorevol, margins

added 1 export
pattern:bagging, bagging.cv, boosting, boosting.cv, errorevol, margins, autoprune,MarginOrderedPruning.Bagging, importanceplot
R
R 3.1.0 released · 2014-04-10
3.2
record
2013-08-16 · diff ↗
R
R 3.0.0 released · 2013-04-03
3.1
record
2012-07-05 · diff ↗ ·
added 1 export
pattern:bagging, bagging.cv, boosting, boosting.cv, errorevol, margins
R
R 2.15.0 released · 2012-03-30
3.0
record
2011-12-22 · diff ↗
R
R 2.14.0 released · 2011-10-31
2.1
record
2011-10-23 · diff ↗
2.0
record
2011-07-23 · diff ↗
R
R 2.13.0 released · 2011-04-13
R
R 2.12.0 released · 2010-10-15
R
R 2.11.0 released · 2010-04-22
R
R 2.10.0 released · 2009-10-26
R
R 2.9.0 released · 2009-04-17
R
R 2.8.0 released · 2008-10-20
R
R 2.7.0 released · 2008-04-22
1.1
record
2007-10-25 · diff ↗
R
R 2.6.0 released · 2007-10-03
R
R 2.5.0 released · 2007-04-24
R
R 2.4.0 released · 2006-10-03
1.0
record
2006-06-06
R
R 2.3.0 released · 2006-04-24

Package metadata

First published: 2006-06-06
Total releases: 13 / 20 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.0.0
Bundled data: 76 KB / 1 file
Download size: 108 KB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' entry:

citation("adabag")

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

It points to 10.18637/jss.v054.i02.

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 adabag version 5.1 [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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