This package is considered a duplicate. The official version of this package is found at:https://cran.r-universe.dev/SI

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:Jinhong Du

SI_0.2.0.tar.gz
SI_0.2.0.zip(r-4.5)SI_0.2.0.zip(r-4.4)SI_0.2.0.zip(r-4.3)
SI_0.2.0.tgz(r-4.5-any)SI_0.2.0.tgz(r-4.4-any)SI_0.2.0.tgz(r-4.3-any)
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://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

archived packages r-universe

3.70 score 5 stars 149 downloads 39 mentions 4 exports 0 dependencies

Last updated 25 days agofrom:1fe61c0036 (on package/SI). Checks:8 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 26 2025
R-4.5-win	OK	Jan 26 2025
R-4.5-mac	OK	Jan 26 2025
R-4.5-linux	OK	Jan 26 2025
R-4.4-win	OK	Jan 26 2025
R-4.4-mac	OK	Jan 26 2025
R-4.3-win	OK	Jan 26 2025
R-4.3-mac	OK	Jan 26 2025