Deriv: Symbolic Differentiation (original) (raw)
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: | 4.2.0 |
|---|---|
| Imports: | methods |
| Suggests: | testthat (≥ 0.11.0) |
| Published: | 2025-06-20 |
| DOI: | 10.32614/CRAN.package.Deriv |
| Author: | Andrew Clausen [aut], Serguei Sokol  [aut, cre], Andreas Rappold [ctb] |
| Maintainer: | Serguei Sokol |
| BugReports: | https://github.com/sgsokol/Deriv/issues |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | Deriv citation info |
| Materials: | README, |
| In views: | Distributions, NumericalMathematics |
| CRAN checks: | Deriv results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | ordinalCont |
|---|---|
| Reverse imports: | apollo, cccrm, ctsem, ctsmTMB, curesurv, doBy, iccCounts, irtpwr, mirt, modsem, mosaicCalc, neuralnet, nlstac, OEFPIL, PFIM, postcard, regmedint, resde, RGCCA, RiskMap, rsq, Sim.DiffProc, theorytools, THREC, xgxr |
| Reverse suggests: | docopulae, interp, nlsr, stokes |
Linking:
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