DESCRIPTION

Package: pnd
Type: Package
Title: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Version: 0.1.2
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
RoxygenNote: 7.3.3
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Config/testthat/edition: 3