R Observatory: Metrics for elmNNRcpp version 1.0.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

elmNNRcpp

1.0.5Package record

The Extreme Learning Machine Algorithm

3packages depend

10.9Kdownloads / year

93.0%test coverage

13/13flavors OK

Overview

About

Maintained by Lampros MouselimisCRAN page ↗GitHub ↗Issues ↗

Training and predict functions for Single Hidden-layer Feedforward Neural Networks (SLFN) using the Extreme Learning Machine (ELM) algorithm. The ELM algorithm differs from the traditional gradient-based algorithms for very short training times (it doesn't need any iterative tuning, this makes learning time very fast) and there is no need to set any other parameters like learning rate, momentum, epochs, etc. This is a reimplementation of the 'elmNN' package using 'RcppArmadillo' after the 'elmNN' package was archived. For more information, see "Extreme learning machine: Theory and applications" by Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew (2006), Elsevier B.V, doi:10.1016/j.neucom.2005.12.126.

Changes in 1.0.5

I updated the Makevars and Makevars.win files by adding -DARMA_USE_CURRENT (see issue: https://github.com/RcppCore/RcppArmadillo/issues/476)
I removed the -mthreads compilation option from the "Makevars.win" file
I removed the "CXX_STD = CXX11" from the "Makevars" files, and the "[[Rcpp::plugins(cpp11)]]" from the "utils.cpp" file due to the following NOTE from CRAN, "NOTE Specified C++11: please drop specification unless essential" (see also: https://www.tidyverse.org/blog/2023/03/cran-checks-compiled-code/#note-regarding-systemrequirements-c11)

From NEWS.md in the release

Install

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

install.packages("elmNNRcpp", 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("mlampros/elmNNRcpp")

Development version from mlampros/elmNNRcpp. 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-elmnnrcpp

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-elmNNRcpp

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-elmNNRcpp

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-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-02
NOTE11 OK, 1 NOTE2026-04-25
OK14 OK2026-04-22

Show 4 earlier changesHide 4 earlier changes

ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-04-16
NOTE13 OK, 1 NOTE2026-03-28
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.5

READMEYes · 172 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.5Citation fileYes · cites a publication

Help pages: 5
Examples that run: 100%4 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 25%
Help pages citing references: 20%

Vignettes (1)

Extreme Learning Machine HTML

How these are measured

Downloads

10.9K

CRAN downloads in the past year

Rank #4,792 · ~30/day · ~912/mo

Releases R versions

Daily download trend is not available in this view yet.

78930 days

1.7K90 days

10.9K1 year

Compare downloads with other packages →

Also on425 r2u8 autocran

How downloads are counted

Repository

mlampros/elmnnrcpp ↗Account: mlampros

15Stars

5Forks

0Open issues

2Open PRs

0Releases

24Commits

2Commit identities

extreme-learning-machineelmrrcpparmadilloarmadillo

24 commits · Last activity 2025-10-01 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 33%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 31

Stars over time

2025-06-05 · 152026-07-07 · 15

How these are measured

PracticesBeta

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

Checks run against github.com/mlampros/elmnnrcpp on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Governance and community (3)

Issue templates

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

pkgdown

GitHub Pages site last deployed 2025-10-01 · The repository has a site deploy workflow

Automation and maintenance (1)

Dependabot

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing elmNNRcpp adds 3 packages (3 with compiled code, 2.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, KernelKnn 119 KB.

Depends (2)

R >= 3.0.2KernelKnn

Imports (1)

Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (4)

testthat covr knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

3indirect

Imports 3

Depends, Imports or LinkingTo, most downloaded first

tspredit TSPred OpEnCAMeO

How these are counted

Code & Tests

People & History

People (3)

Lampros Mouselimis

Author, Maintainer since 1.0.0 (2018)

Alberto Gosso

Author

Edwin de Jonge

Contributor · added in 1.0.4

Github Contributor

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.5Latest
record
2025-09-15 · 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
1.0.4
record
2022-01-28 · diff ↗ ·
added 1 export
elm
R
R 4.1.0 released · 2021-05-18
1.0.3
record
2021-05-04 · diff ↗
1.0.2
record
2020-06-13 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.0.1
record
2018-07-21 · diff ↗
1.0.0
record
2018-07-05
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-07-05
Total releases: 6 / 8 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.0.2
Download size: 406 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("elmNNRcpp")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 elmNNRcpp version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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