Implementation of automatically computing derivatives of functions (see Mailund Thomas (2017) <doi:10.1007/978-1-4842-2881-4>). Moreover, calculating gradients, Hessian and Jacobian matrices is possible.
| Version: | 0.2.0 |
| Imports: | methods, purrr, rlang, R6, pryr |
| Suggests: | tinytest |
| Published: | 2023-02-23 |
| DOI: | 10.32614/CRAN.package.dfdr |
| Author: | Thomas Mailund [aut], Konrad Krämer [aut, cre] |
| Maintainer: | Konrad Krämer <konrad_kraemer at yahoo.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | dfdr results |
| Reference manual: | dfdr.pdf |
| Package source: | dfdr_0.2.0.tar.gz |
| Windows binaries: | r-devel: dfdr_0.2.0.zip, r-release: dfdr_0.2.0.zip, r-oldrel: dfdr_0.2.0.zip |
| macOS binaries: | r-release (arm64): dfdr_0.2.0.tgz, r-oldrel (arm64): dfdr_0.2.0.tgz, r-release (x86_64): dfdr_0.2.0.tgz, r-oldrel (x86_64): dfdr_0.2.0.tgz |
| Old sources: | dfdr archive |
| Reverse imports: | ast2ast, paropt |
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