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_0.1.0.zip, r-release: nnR_0.1.0.zip, r-oldrel: nnR_0.1.0.zip |
| macOS binaries: | r-release (arm64): nnR_0.1.0.tgz, r-oldrel (arm64): nnR_0.1.0.tgz, r-release (x86_64): nnR_0.1.0.tgz, r-oldrel (x86_64): nnR_0.1.0.tgz |
| Old sources: | nnR archive |
Linking:
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