Package: RcppFastAD 0.0.2

RcppFastAD: 'Rcpp' Bindings to 'FastAD' Auto-Differentiation

The header-only 'C++' template library 'FastAD' for automatic differentiation <https://github.com/JamesYang007/FastAD> is provided by this package, along with a few illustrative examples that can all be called from R.

Authors:Dirk Eddelbuettel [aut, cre], James Yang [aut]

RcppFastAD_0.0.2.tar.gz
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RcppFastAD.pdf |RcppFastAD.html✨
RcppFastAD/json (API)
NEWS

# Install 'RcppFastAD' in R:
install.packages('RcppFastAD', repos = c('https://eddelbuettel.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/eddelbuettel/rcppfastad/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3 exports 8 stars 1.52 score 2 dependencies 5 scripts 150 downloads

Last updated 4 months agofrom:cac9541adc. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-win-x86_64OKAug 20 2024
R-4.5-linux-x86_64OKAug 20 2024
R-4.4-win-x86_64OKAug 20 2024
R-4.4-mac-x86_64OKAug 20 2024
R-4.4-mac-aarch64OKAug 20 2024
R-4.3-win-x86_64OKAug 20 2024
R-4.3-mac-x86_64OKAug 20 2024
R-4.3-mac-aarch64OKAug 20 2024

Exports:black_scholeslinear_regressionquadratic_expression

Dependencies:RcppRcppEigen