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dfdr: Automatic Differentiation of Simple Functions

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

Documentation:

Reference manual: dfdr.pdf

Downloads:

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 dependencies:

Reverse imports: ast2ast, paropt

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dfdr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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