The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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>.

Version: 0.2.0
Depends: R (≥ 3.0.1), stats (≥ 3.3.2)
Suggests: knitr, rmarkdown, testthat
Published: 2018-09-23
DOI: 10.32614/CRAN.package.SI
Author: Jinhong Du
Maintainer: Jinhong Du <jayduking at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Materials: NEWS
CRAN checks: SI results

Documentation:

Reference manual: SI.pdf
Vignettes: Monte Carlo Integration

Downloads:

Package source: SI_0.2.0.tar.gz
Windows binaries: r-devel: SI_0.2.0.zip, r-release: SI_0.2.0.zip, r-oldrel: SI_0.2.0.zip
macOS binaries: r-release (arm64): SI_0.2.0.tgz, r-oldrel (arm64): SI_0.2.0.tgz, r-release (x86_64): SI_0.2.0.tgz, r-oldrel (x86_64): SI_0.2.0.tgz
Old sources: SI archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.