Package: nabla
Title: Exact Derivatives via Automatic Differentiation
Version: 0.7.2
Authors@R: person("Alexander", "Towell",
                   role = c("aut", "cre"),
                   email = "queelius@gmail.com",
                   comment = c(ORCID = "0000-0001-6443-9897"))
URL: https://github.com/queelius/nabla, https://metafunctor.com
BugReports: https://github.com/queelius/nabla/issues
Description: Automatic differentiation for R functions written with
        supported scalar arithmetic and mathematical operations.
        Provides a composable derivative operator D that computes
        gradients, Hessians, Jacobians, and arbitrary-order derivative
        tensors at machine precision. D(D(f)) gives Hessians,
        D(D(D(f))) gives third-order tensors for skewness of maximum
        likelihood estimators, and so on to higher orders. Supports
        loops and executed branches composed of supported operations.
        Uses nested dual numbers without finite difference truncation
        error; floating-point rounding and conditioning still affect
        results.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0), methods
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
Collate: 'dual-class.R' 'dual-arithmetic.R' 'dual-math.R'
        'dual-special.R' 'dual-higher.R' 'derivatives.R'
        'nabla-package.R'
NeedsCompilation: no
Packaged: 2026-10-28 19:49:52 UTC; root
Author: Alexander Towell [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-6443-9897>)
Maintainer: Alexander Towell <queelius@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-28 11:20:08 UTC
RemoteUrl: https://github.com/cran/nabla
RemoteRef: HEAD
RemoteSha: 2c225a419a9b9a1adc2f9d65d413f7b5b1e0742b