Introduction | Numerical Integration | One-dimensional | Multi-dimensional | Handling Infinite Limits | Numerical Optimization | Unconstrained Minimization | Box-constrained Minimization | A Practical Example
Package: RcppNumerical 0.7-0
RcppNumerical: 'Rcpp' Integration for Numerical Computing Libraries
A collection of open source libraries for numerical computing (numerical integration, optimization, etc.) and their integration with 'Rcpp'.
Authors:
RcppNumerical_0.7-0.tar.gz
RcppNumerical_0.7-0.zip(r-4.7)RcppNumerical_0.7-0.zip(r-4.6)RcppNumerical_0.7-0.zip(r-4.5)
RcppNumerical_0.7-0.tgz(r-4.6-x86_64)RcppNumerical_0.7-0.tgz(r-4.6-arm64)RcppNumerical_0.7-0.tgz(r-4.5-x86_64)RcppNumerical_0.7-0.tgz(r-4.5-arm64)
RcppNumerical_0.7-0.tar.gz(r-4.7-arm64)RcppNumerical_0.7-0.tar.gz(r-4.7-x86_64)RcppNumerical_0.7-0.tar.gz(r-4.6-arm64)RcppNumerical_0.7-0.tar.gz(r-4.6-x86_64)
RcppNumerical_0.7-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RcppNumerical/json (API)
| # Install 'RcppNumerical' in R: |
| install.packages('RcppNumerical', repos = c('https://yixuan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yixuan/rcppnumerical/issues
integrationnumerical-methodsoptimizationrcppcpp
Last updated from:ac50de9872. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 183 | ||
| linux-devel-x86_64 | NOTE | 157 | ||
| source / vignettes | OK | 239 | ||
| linux-release-arm64 | NOTE | 180 | ||
| linux-release-x86_64 | NOTE | 131 | ||
| macos-release-arm64 | NOTE | 92 | ||
| macos-release-x86_64 | NOTE | 160 | ||
| macos-oldrel-arm64 | NOTE | 84 | ||
| macos-oldrel-x86_64 | NOTE | 207 | ||
| windows-devel | NOTE | 99 | ||
| windows-release | NOTE | 127 | ||
| windows-oldrel | NOTE | 118 | ||
| wasm-release | OK | 145 |
Exports:fastLR
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast Logistic Regression Fitting Using L-BFGS Algorithm | fastLR |
