nnR: Neural Networks Made Algebraic

Build, compose, stack, sum, and realize feed-forward neural networks as algebraic objects. Implements the calculus and constructive approximations described by Rafi, Padgett, and Nakarmi (2024) <doi:10.48550/arXiv.2402.01058>, Grohs, Hornung, Jentzen, et al. (2023) <doi:10.1007/s10444-022-09970-2>, and Jentzen, Kuckuck, and von Wurstemberger (2023) <doi:10.48550/arXiv.2310.20360>. Includes neural network polynomials, transcendental-function approximations, multidimensional maximum convolution, and vectorized batch realization.

Version:	0.2.0
Depends:	R (≥ 4.1.0)
Suggests:	knitr, rmarkdown, testthat (≥ 3.2.0)
Published:	2026-09-17
DOI:	10.32614/CRAN.package.nnR
Author:	Shakil Rafi [aut, cre], Joshua Lee Padgett [aut], Ukash Nakarmi [ctb]
Maintainer:	Shakil Rafi <sarafi at uark.edu>
BugReports:	https://github.com/2shakilrafi/nnR/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc
License:	GPL-3
URL:	https://github.com/2shakilrafi/nnR/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	nnR results

Documentation:

Reference manual:	nnR.html , nnR.pdf
Vignettes:	nnR (source, R code)

Downloads:

Package source:	nnR_0.2.0.tar.gz
Windows binaries:	r-devel: nnR_0.2.0.zip, r-release: nnR_0.2.0.zip, r-oldrel: nnR_0.2.0.zip
macOS binaries:	r-release (arm64): nnR_0.2.0.tgz, r-oldrel (arm64): nnR_0.2.0.tgz, r-release (x86_64): nnR_0.2.0.tgz, r-oldrel (x86_64): nnR_0.2.0.tgz
Old sources:	nnR archive

Linking:

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