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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: 4.1.6
Imports: methods
Suggests: testthat (≥ 0.11.0)
Published: 2024-09-13
DOI: 10.32614/CRAN.package.Deriv
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_4.1.6.tar.gz
Windows binaries: r-devel: Deriv_4.1.6.zip, r-release: Deriv_4.1.6.zip, r-oldrel: Deriv_4.1.6.zip
macOS binaries: r-release (arm64): Deriv_4.1.6.tgz, r-oldrel (arm64): Deriv_4.1.6.tgz, r-release (x86_64): Deriv_4.1.6.tgz, r-oldrel (x86_64): Deriv_4.1.6.tgz
Old sources: Deriv archive

Reverse dependencies:

Reverse depends: ordinalCont
Reverse imports: apollo, cccrm, ctsem, curesurv, 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:

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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.