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 
[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, nCopula, neuralnet, nlstac, OEFPIL, PFIM, regmedint, RGCCA, rsq, seeds, Sim.DiffProc, xgxr |
| Reverse suggests: | docopulae, interp, nlsr, stokes |
Linking:
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