Package: pnd 0.0.9

Andreï Victorovitch Kostyrka
pnd: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Numerical derivatives through finite-difference approximations can be calculated using the 'pnd' package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the 'numDeriv' package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.
Authors:
pnd_0.0.9.tar.gz
pnd_0.0.9.zip(r-4.5)pnd_0.0.9.zip(r-4.4)pnd_0.0.9.zip(r-4.3)
pnd_0.0.9.tgz(r-4.5-any)pnd_0.0.9.tgz(r-4.4-any)pnd_0.0.9.tgz(r-4.3-any)
pnd_0.0.9.tar.gz(r-4.5-noble)pnd_0.0.9.tar.gz(r-4.4-noble)
pnd_0.0.9.tgz(r-4.4-emscripten)pnd_0.0.9.tgz(r-4.3-emscripten)
pnd.pdf |pnd.html✨
pnd/json (API)
NEWS
# Install 'pnd' in R: |
install.packages('pnd', repos = c('https://fifis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fifis/pnd/issues
Last updated 3 days agofrom:6d49d67cec. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 11 2025 |
R-4.5-win | OK | Mar 11 2025 |
R-4.5-mac | OK | Mar 11 2025 |
R-4.5-linux | OK | Mar 11 2025 |
R-4.4-win | OK | Mar 11 2025 |
R-4.4-mac | OK | Mar 11 2025 |
R-4.4-linux | OK | Mar 11 2025 |
R-4.3-win | OK | Mar 11 2025 |
R-4.3-mac | OK | Mar 11 2025 |
Exports:checkCorescheckDimensionsdupRowIndsfdCoefGenDgenerateGridgenerateGrid2GradgradstepHessianJacobianplotTErunParallelsolveVandermondestep.CRstep.DVstep.Mstep.pluginstep.SWstepx
Compatilibility of pnd with the syntax of numDeriv
Rendered fromcompatibility-with-numDeriv.Rmd
usingknitr::rmarkdown
on Mar 11 2025.Last update: 2025-03-11
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Fast and accurate parallel numerical derivatives in R
Rendered fromfast-and-accurate.Rmd
usingknitr::rmarkdown
on Mar 11 2025.Last update: 2025-01-24
Started: 2024-06-13
Step-size-selection algorithm benchmark
Rendered fromstep-size-selection.Rmd
usingknitr::rmarkdown
on Mar 11 2025.Last update: 2025-01-24
Started: 2024-06-13