cito: Building and Training Neural Networks
Building and training custom neural networks in the typical R syntax. The 'torch' package is used for numerical calculations, which allows for training on CPU as well as on a graphics card.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5) |
| Imports: | coro, checkmate, torch, gridExtra, parabar, abind, progress, cli |
| Suggests: | rmarkdown, testthat, plotly, ggraph, igraph, stats, ggplot2, knitr |
| Published: | 2023-10-06 |
| Author: | Christian Amesöder [aut],
Maximilian Pichler
 [aut, cre],
Florian Hartig
[ctb],
Armin Schenk [ctb] |
| Maintainer: | Maximilian Pichler <maximilian.pichler at biologie.uni-regensburg.de> |
| BugReports: | https://github.com/citoverse/cito/issues |
| License: | GPL (≥ 3) |
| URL: | https://citoverse.github.io/cito/ |
| NeedsCompilation: | no |
| Citation: | cito citation info |
| Materials: | README NEWS |
| CRAN checks: | cito results |
Documentation:
| Reference manual: | cito.pdf |
| Vignettes: |
Introduction to cito Training neural networks Example: (Multi-) Species distribution models with cito Advanced: Custom loss functions and prediction intervals |
Downloads:
| Package source: | cito_1.0.2.tar.gz |
| Windows binaries: | r-devel: cito_1.0.2.zip, r-release: cito_1.0.2.zip, r-oldrel: cito_1.0.2.zip |
| macOS binaries: | r-release (arm64): cito_1.0.2.tgz, r-oldrel (arm64): cito_1.0.2.tgz, r-release (x86_64): cito_1.0.2.tgz, r-oldrel (x86_64): cito_1.0.2.tgz |
| Old sources: | cito archive |
Linking:
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