Package: RcppEigenAD 1.1.0

Daniel Grose

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.

Authors:Daniel Grose [aut, cre], Robert Crouchley [aut, ctb]

RcppEigenAD_1.1.0.tar.gz
RcppEigenAD_1.1.0.tar.gz(r-4.7-arm64)RcppEigenAD_1.1.0.tar.gz(r-4.7-x86_64)RcppEigenAD_1.1.0.tar.gz(r-4.6-arm64)RcppEigenAD_1.1.0.tar.gz(r-4.6-x86_64)
RcppEigenAD_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RcppEigenAD/json (API)
NEWS

# Install 'RcppEigenAD' in R:
install.packages('RcppEigenAD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 8 scripts 511 downloads 4 exports 33 dependencies

Last updated from:16e6236f36. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK134
linux-devel-x86_64OK126
source / vignettesOK178
linux-release-arm64OK141
linux-release-x86_64OK145
wasm-releaseOK132

Exports:%.%HJsourceCppAD

Dependencies:BHbitbit64cachemclicliprcpp11crayonfastmapfunctionalgluehmslifecyclemagrittrmemoisepillarpkgconfigprettyunitsprogressR6rbibutilsRcppRcppEigenRdpackreadrrlangtibbletidyselecttzdbutf8vctrsvroomwithr