Package: pnd
Type: Package
Title: Parallel Numerical Derivatives, Gradients, Jacobians, and
        Hessians of Arbitrary Accuracy Order
Version: 0.1.3
Authors@R: person(given = c("Andreï", "Victorovitch"), family = "Kostyrka",
        role = c("aut", "cre"), email="andrei.kostyrka@gmail.com")
Maintainer: Andreï Victorovitch Kostyrka <andrei.kostyrka@gmail.com>
Description: 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.
License: EUPL
Encoding: UTF-8
URL: https://github.com/Fifis/pnd
BugReports: https://github.com/Fifis/pnd/issues
Depends: R (>= 3.4.0)
Imports: parallel, Rdpack
Suggests: numDeriv, knitr, rmarkdown, testthat (>= 3.0.0)
RdMacros: Rdpack
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Repository: https://fifis.r-universe.dev
Date/Publication: 2026-05-26 07:19:27 UTC
RemoteUrl: https://github.com/fifis/pnd
RemoteRef: HEAD
RemoteSha: a589213045114075e6ae61306498e63e497885ff
NeedsCompilation: no
Packaged: 2026-07-04 12:41:37 UTC; root
Author: Andreï Victorovitch Kostyrka [aut, cre]