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: 4.0
Imports: methods
Suggests: testthat
Published: 2019-12-10
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: NumericalMathematics
CRAN checks: Deriv results

Downloads:

Reference manual: Deriv.pdf
Package source: Deriv_4.0.tar.gz
Windows binaries: r-devel: Deriv_3.9.0.zip, r-devel-gcc8: Deriv_3.9.0.zip, r-release: Deriv_4.0.zip, r-oldrel: Deriv_4.0.zip
OS X binaries: r-release: Deriv_4.0.tgz, r-oldrel: Deriv_4.0.tgz
Old sources: Deriv archive

Reverse dependencies:

Reverse depends: ordinalCont
Reverse imports: ctsem, doBy, drugCombo, mirt, nCopula, neuralnet, QBAsyDist, RGCCA, Sim.DiffProc
Reverse suggests: docopulae, interp, nlsr, wedge

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