Package: SI 0.2.0
Jinhong Du
SI: Stochastic Integrating
An implementation of four stochastic methods of integrating in R, including: 1. Stochastic Point Method (or Monte Carlo Method); 2. Mean Value Method; 3. Important Sampling Method; 4. Stratified Sampling Method. It can be used to estimate one-dimension or multi-dimension integration by Monte Carlo methods. And the estimated variance (precision) is given. Reference: Caflisch, R. E. (1998) <doi:10.1017/S0962492900002804>.
Authors:
SI_0.2.0.tar.gz
SI_0.2.0.tar.gz(r-4.5-noble)SI_0.2.0.tar.gz(r-4.4-noble)
SI_0.2.0.tgz(r-4.4-emscripten)SI_0.2.0.tgz(r-4.3-emscripten)
SI.pdf |SI.html✨
SI/json (API)
NEWS
| # Install 'SI' in R: |
| install.packages('SI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:c36354fccc. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
Exports:SI.ISMSI.MVMSI.SPMSI.SSM
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Important Sampling Method | SI.ISM |
| Mean Value Method | SI.MVM |
| Stochastic Point Method | SI.SPM |
| Stratified Sampling Method | SI.SSM |