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Deriv: Symbolic Differentiation

R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.

Version: 4.1.3
Imports: methods
Suggests: testthat
Published: 2021-02-24
Author: Andrew Clausen [aut], Serguei Sokol ORCID iD [aut, cre], Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol at insa-toulouse.fr>
BugReports: https://github.com/sgsokol/Deriv/issues
License: GPL (≥ 3)
NeedsCompilation: no
Citation: Deriv citation info
Materials: README NEWS
In views: Distributions, NumericalMathematics
CRAN checks: Deriv results

Documentation:

Reference manual: Deriv.pdf

Downloads:

Package source: Deriv_4.1.3.tar.gz
Windows binaries: r-devel: Deriv_4.1.3.zip, r-release: Deriv_4.1.3.zip, r-oldrel: Deriv_4.1.3.zip
macOS binaries: r-release (arm64): Deriv_4.1.3.tgz, r-oldrel (arm64): Deriv_4.1.3.tgz, r-release (x86_64): Deriv_4.1.3.tgz, r-oldrel (x86_64): Deriv_4.1.3.tgz
Old sources: Deriv archive

Reverse dependencies:

Reverse depends: ordinalCont
Reverse imports: apollo, cccrm, ctsem, doBy, fitode, gpuMagic, iccCounts, irtpwr, mirt, mosaicCalc, neuralnet, nlstac, OEFPIL, PFIM, regmedint, resde, RGCCA, rsq, seeds, Sim.DiffProc, THREC, xgxr
Reverse suggests: docopulae, interp, nlsr, stokes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Deriv 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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