RSNNS
0.4-18Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
Overview
The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
Install
Health
- 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 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 75includes a package overview page
- Examples that run
- 96%23 run in a plain check · 1 never run
- Exported functions with examples
- 48%
- Documented parameters
- 99%
- Return-value docs
- 76%
- Help pages citing references
- 21%
Also includes 34 demo scripts (run with demo())
Downloads
Repository
- PRs merged (all time)
- 33%
- Median days to close, 50 most recently updated closed issues
- 34
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Issues over time
PRs over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/cbergmeir/rsnns on 2026-10-11.
Dependencies
Installing RSNNS adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- 0.4-18Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.4-172023-11-30 · diff ↗
- 0.4-162023-05-09 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.4-152023-01-23 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.4-142021-08-13 · diff ↗
- 0.4-132021-08-09 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.4-122019-09-17 · diff ↗
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2018-08-10
Show 25 earlier eventsHide 25 earlier events
- orphanedOrphaned by its maintainer2018-08-10C++ issues were not corrected since 2017 despite reminders
- 0.4-112018-08-10 · diff ↗
- 0.4-10.12018-08-10 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.4-102017-12-10 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.4-92016-12-16 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 0.4-72015-06-12 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 0.4-62014-12-22 · diff ↗
- 0.4-52014-05-23 · diff ↗ ·
removed 17 exports
art1.default, art2.default, artmap.default, assoz.default, dlvq.default, elman.default, jordan.default, mlp.default, rbf.default, rbfDDA.default, plotIterativeError.rsnns, print.rsnns, summary.rsnns, train.rsnns, predict.rsnns, weightMatrix.rsnns, som.default - RR 3.1.0 released · 2014-04-10
- 0.4-42013-12-16 · diff ↗
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
- 0.4-32012-01-10 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 0.4-22011-09-30 · diff ↗
- 0.4-12011-07-28 · diff ↗
- 0.4-02011-06-21 · diff ↗ ·
removed 1 export
plotIterativeError.reg_classadded 10 exports
artmap, artmap.default, denormalizeData, getNormParameters, normTrainingAndTestSet, plotIterativeError.rsnns, extractNetInfo, exportToSnnsNetFile, weightMatrix, weightMatrix.rsnns - RR 2.13.0 released · 2011-04-13
- 0.3-12010-11-17 · diff ↗
- 0.32010-11-15
- RR 2.12.0 released · 2010-10-15
Package metadata
- First published
- 2010-11-15
- Total releases
- 21 / 16 yrs
- License
- LGPL (>= 2) | file LICENSE OSI
- Copyright
- Original SNNS software Copyright (C) 1990-1995 SNNS Group, IPVR, Univ. Stuttgart, FRG; 1996-1998 SNNS Group, WSI, Univ. Tuebingen, FRG. R interface Copyright (C) DiCITS Lab, Sci2s group, DECSAI, University of Granada.
- Minimum R
- ≥ 2.10.0
- Bundled data
- 402 KB / 1 file
- Download size
- 948 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("RSNNS")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.