Two discretization-based Monte Carlo algorithms, namely the Fu-Wang algorithm and the Wang-Lee algorithm, are provided for random sample generation from a high dimensional distribution of complex structure. The normalizing constant of the target distribution needs not to be known.
| Version: | 0.91.2.2 |
| Depends: | R (≥ 2.7.0) |
| Imports: | stats, graphics, MASS |
| Published: | 2015-11-30 |
| Author: | Chel Hee Lee [aut, cre], Liqun Wang [aut] |
| Maintainer: | Chel Hee Lee <gnustats at gmail.com> |
| Contact: | Chel Hee Lee <chl948@mail.usask.ca> |
| BugReports: | chl948@mail.usask.ca |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://r-forge.r-project.org/projects/wanglee/ |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | dsample results |
| Reference manual: | dsample.pdf |
| Package source: | dsample_0.91.2.2.tar.gz |
| Windows binaries: | r-devel: dsample_0.91.2.2.zip, r-release: dsample_0.91.2.2.zip, r-oldrel: dsample_0.91.2.2.zip |
| macOS binaries: | r-release: dsample_0.91.2.2.tgz, r-oldrel: dsample_0.91.2.2.tgz |
| Old sources: | dsample archive |
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