R Observatory: Metrics for ANN2 version 2.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ANN2

2.4.0Package record

Artificial Neural Networks for Anomaly Detection

0packages depend

9.2Kdownloads / year

80.3%test coverage

13/13flavors OK

Overview

About

Maintained by Bart LammersCRAN page ↗GitHub ↗

Training of neural networks for classification and regression tasks using mini-batch gradient descent. Special features include a function for training autoencoders, which can be used to detect anomalies, and some related plotting functions. Multiple activation functions are supported, including tanh, relu, step and ramp. For the use of the step and ramp activation functions in detecting anomalies using autoencoders, see Hawkins et al. (2002) doi:10.1007/3-540-46145-0_17. Furthermore, several loss functions are supported, including robust ones such as Huber and pseudo-Huber loss, as well as L1 and L2 regularization. The possible options for optimization algorithms are RMSprop, Adam and SGD with momentum. The package contains a vectorized C++ implementation that facilitates fast training through mini-batch learning.

Install

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

install.packages("ANN2", 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("bflammers/ANN2")

Development version from bflammers/ANN2. 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-ann2

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-ANN2

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-ANN2

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: 9.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 3 earlier changesHide 3 earlier changes

NOTE12 OK, 2 NOTE2026-03-13
ERROR11 OK, 2 NOTE, 1 ERROR2026-03-12
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.4.0

READMEYes · 635 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 21 (7 internal)
Examples that run: 100%3 run in a plain check
Exported functions with examples: 30%
Documented parameters: 100%
Return-value docs: 70%
Help pages citing references: 10%

How these are measured

Downloads

9.2K

CRAN downloads in the past year

Rank #4,223 · ~25/day · ~770/mo

Releases R versions

Daily download trend is not available in this view yet.

61430 days

2.1K90 days

9.2K1 year

Compare downloads with other packages →

Also on427 r2u47 autocran

How downloads are counted

Repository

bflammers/ann2 ↗Account: bflammers

12Stars

4Forks

0Open issues

0Open PRs

3Releases

261Commits

4Commit identities

artificial-neural-networksanomaly-detectionautoencodersrobust-statisticsneural-networks

License file reads as LGPL-3.0 · 261 commits · Last activity 2025-10-09

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 12
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-07-15 · 122026-07-07 · 12

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bflammers/ann2 on 2026-10-18.

Continuous integration (1)

GitHub Actions

Coverage (2)

Coverage reporting.covrignore

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

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing ANN2 adds 41 packages (20 with compiled code, 33 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (6)

Rcpp reshape2 ggplot2 viridisLitemethodsrlang

LinkingTo (3)

Rcpp RcppArmadillo testthat

Suggests (1)

testthat

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)

Bart Lammers

Author, Maintainer since 1.0 (2017)

Releases (15)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.4.0Latest
record
2025-10-10 · current release · diff ↗
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
2.3.4
record
2020-12-01 · diff ↗
R
R 4.0.0 released · 2020-04-24
2.3.3
record
2020-03-15 · diff ↗
R
R 3.6.0 released · 2019-04-26
2.3.2
record
2019-04-14 · diff ↗
2.3.1
record
2019-03-30 · diff ↗
2.3
record
2019-03-20 · diff ↗
2.2
record
2019-03-19 · diff ↗
2.1
record
2019-02-28 · diff ↗

Show 9 earlier eventsHide 9 earlier events

2.0
record
2018-12-11 · diff ↗ ·
removed 3 exports
example_NN, plotStepFunction, replicator

added 5 exports
compression_plot, read_ANN, reconstruction_plot, train, write_ANN
R
R 3.5.0 released · 2018-04-23
1.5
record
2017-11-28 · diff ↗
1.4
record
2017-11-24 · diff ↗ ·
added 2 exports
decode, encode
1.3
record
2017-11-16 · diff ↗
1.2
record
2017-11-15 · diff ↗
1.1
record
2017-10-23 · diff ↗
1.0
record
2017-10-14
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-10-14
Total releases: 15 / 9 yrs
License: GPL (>= 3) | file LICENSE OSI
Download size: 274 KB

Appears in task views

Anomaly Detection

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ANN2")

Format

Lammers, B. (2025). ANN2: Artificial Neural Networks for Anomaly Detection (Version 2.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ANN2

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 ANN2 version 2.4.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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