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 ORCID iD [aut, cre], Florian Hartig ORCID iD [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
Old sources: cito archive

Linking:

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