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:
RcppFastAD_0.0.2.tar.gz
RcppFastAD_0.0.2.zip(r-4.5)RcppFastAD_0.0.2.zip(r-4.4)RcppFastAD_0.0.2.zip(r-4.3)
RcppFastAD_0.0.2.tgz(r-4.4-x86_64)RcppFastAD_0.0.2.tgz(r-4.4-arm64)RcppFastAD_0.0.2.tgz(r-4.3-x86_64)RcppFastAD_0.0.2.tgz(r-4.3-arm64)
RcppFastAD_0.0.2.tar.gz(r-4.5-noble)RcppFastAD_0.0.2.tar.gz(r-4.4-noble)
RcppFastAD_0.0.2.tgz(r-4.4-emscripten)RcppFastAD_0.0.2.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/eddelbuettel/rcppfastad/issues
Last updated 4 months agofrom:cac9541adc. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 20 2024 |
R-4.5-win-x86_64 | OK | Aug 20 2024 |
R-4.5-linux-x86_64 | OK | Aug 20 2024 |
R-4.4-win-x86_64 | OK | Aug 20 2024 |
R-4.4-mac-x86_64 | OK | Aug 20 2024 |
R-4.4-mac-aarch64 | OK | Aug 20 2024 |
R-4.3-win-x86_64 | OK | Aug 20 2024 |
R-4.3-mac-x86_64 | OK | Aug 20 2024 |
R-4.3-mac-aarch64 | OK | Aug 20 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
'Rcpp' Bindings to 'FastAD' Auto-Differentiation | RcppFastAD-package RcppFastAD |
Black-Scholes valuation and first derivatives via Automatic Differentiation | black_scholes |
Evaluate a squared-loss linear regression at a given parameter value | linear_regression |
Compute the value and derivate of a quadratic expression X' * Sigma * X | quadratic_expression |