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.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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 311 scripts 123 downloads 39 mentions 4 exports 0 dependencies

Last updated 6 years agofrom:c36354fccc. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linuxOKDec 09 2024

Exports:SI.ISMSI.MVMSI.SPMSI.SSM

Dependencies:

Monte Carlo Integration

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Dec 09 2024.

Last update: 2018-09-23
Started: 2018-04-17