Package: RcppFastAD 0.0.6
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_0.0.6.tar.gz
RcppFastAD_0.0.6.zip(r-4.7-x86_64)RcppFastAD_0.0.6.zip(r-4.7-arm64)RcppFastAD_0.0.6.zip(r-4.6-x86_64)RcppFastAD_0.0.6.zip(r-4.6-arm64)RcppFastAD_0.0.6.zip(r-4.5-x86_64)
RcppFastAD_0.0.6.tgz(r-4.6-x86_64)RcppFastAD_0.0.6.tgz(r-4.6-arm64)RcppFastAD_0.0.6.tgz(r-4.5-x86_64)RcppFastAD_0.0.6.tgz(r-4.5-arm64)
RcppFastAD_0.0.6.tar.gz(r-4.7-arm64)RcppFastAD_0.0.6.tar.gz(r-4.7-x86_64)RcppFastAD_0.0.6.tar.gz(r-4.6-arm64)RcppFastAD_0.0.6.tar.gz(r-4.6-x86_64)
RcppFastAD_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RcppFastAD/json (API)
| # 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 from:d09def3e5c. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 109 | ||
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 194 | ||
| linux-release-arm64 | OK | 125 | ||
| linux-release-x86_64 | OK | 116 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-release-x86_64 | OK | 255 | ||
| macos-oldrel-arm64 | OK | 104 | ||
| macos-oldrel-x86_64 | OK | 369 | ||
| windows-devel-arm64 | OK | 235 | ||
| windows-devel-x86_64 | OK | 174 | ||
| windows-release-arm64 | OK | 215 | ||
| windows-release-x86_64 | OK | 175 | ||
| windows-oldrel-x86_64 | OK | 122 | ||
| wasm-release | OK | 126 |
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 |