dsample: Discretization-Based Direct Random Sample Generation
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 |
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