R Observatory: Metrics for FCNN4R version 0.6.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2018-08-04. Its history is shown below.

Reason: requested by the maintainer 'Grzegorz Klima <gklima@users.sourceforge.net>'

Details below reflect version 0.6.2, its last release before removal.

FCNN4R

0.6.2Package record

Fast Compressed Neural Networks for R

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Grzegorz KlimaCRAN page ↗

Provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop, simulated annealing, stochastic gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons, reordering inputs, merging networks). Networks can be exported to C functions in order to integrate them into virtually any software solution.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/FCNN4R/FCNN4R_0.6.2.tar.gz"
pkgFile <- "FCNN4R_0.6.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.6.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6.2

READMENoVignettesNoNEWSNoCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION

Help pages: 31 (3 internal)includes a package overview page
Examples that run: 78%7 run in a plain check · 2 never run
Exported functions with examples: 32%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 19%

How these are measured

Downloads

FCNN4R Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on104 c2d4u

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (5)

R >= 3.0statsgraphicsmethodsRcpp

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Grzegorz Klima

Contributor

Maintainer since 0.3.0 (2015)

Releases (11)

Pick two releases to compare their code metrics.

R
R 3.6.0 released · 2019-04-26
archivedRemoved from CRAN
2018-08-04
requested by the maintainer 'Grzegorz Klima <gklima@users.sourceforge.net>'
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
0.6.2
record
2016-03-09 · diff ↗
0.6.1
record
2016-03-07 · diff ↗
0.6.0
record
2015-12-31 · diff ↗ ·
added 5 exports
mlp_expand_reorder_inputs, mlp_rm_input_neurons, mlp_teach_sgd, read.fcnndataset, write.fcnndataset
0.5.0
record
2015-10-12 · diff ↗ ·
added 2 exports
mlp_teach_grprop, mlp_teach_sa
0.4.1
record
2015-08-27 · diff ↗
0.4.0
record
2015-08-26 · diff ↗ ·
added 3 exports
mlp_jacob, mlp_merge, mlp_stack
0.3.4
record
2015-07-25 · diff ↗
0.3.3
record
2015-07-21 · diff ↗
0.3.2
record
2015-07-17 · diff ↗
0.3.1
record
2015-07-15 · diff ↗
0.3.0
record
2015-07-14

Show 1 earlier eventHide 1 earlier event

R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-07-14
Total releases: 11 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.0

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FCNN4R")

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 FCNN4R version 0.6.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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