RcppEigenAD: Generate Partial Derivatives using 'Rcpp', 'Eigen' and 'CppAD'

Compiles 'C++' code using 'Rcpp' <doi:10.18637/jss.v040.i08>, 'Eigen' <doi:10.18637/jss.v052.i05> and 'CppAD' to produce first and second order partial derivatives. Also provides an implementation of Faa' di Bruno's formula to combine the partial derivatives of composed functions.

Version:	1.1.0
Imports:	Rcpp (≥ 0.12.12), methods, functional, memoise, readr, Rdpack
LinkingTo:	Rcpp, RcppEigen, BH
Suggests:	RcppEigen, BH
Published:	2025-09-11
DOI:	10.32614/CRAN.package.RcppEigenAD
Author:	Daniel Grose [aut, cre], Robert Crouchley [aut, ctb]
Maintainer:	Daniel Grose <dan.grose at lancaster.ac.uk>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	RcppEigenAD results

Documentation:

Reference manual:

RcppEigenAD.html , RcppEigenAD.pdf

Downloads:

Package source:	RcppEigenAD_1.1.0.tar.gz
Windows binaries:	r-devel: RcppEigenAD_1.1.0.zip, r-release: RcppEigenAD_1.1.0.zip, r-oldrel: RcppEigenAD_1.1.0.zip
macOS binaries:	r-release (arm64): RcppEigenAD_1.1.0.tgz, r-oldrel (arm64): RcppEigenAD_1.1.0.tgz, r-release (x86_64): RcppEigenAD_1.1.0.tgz, r-oldrel (x86_64): RcppEigenAD_1.1.0.tgz
Old sources:	RcppEigenAD archive

Linking:

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