dsample: Discretization-Based Direct Random Sample Generation
Discretization-based random sampling algorithm that is useful for a complex model in high dimension is implemented. The normalizing constant of a target distribution is not needed. Posterior summaries are compared with those by 'OpenBUGS'. The method is described: Wang and Lee (2014) <doi:10.1016/j.csda.2013.06.011> and exercised in Lee (2009) <http://hdl.handle.net/1993/21352>.
| Version: | 0.91.3.4 |
| Imports: | stats, graphics, MASS, mnormt |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-02-09 |
| DOI: | 10.32614/CRAN.package.dsample |
| Author: | Chel Hee Lee 
[aut, cre],
Liqun Wang [aut] |
| Maintainer: | Chel Hee Lee <chelhee.lee at ucalgary.ca> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | dsample results |
Documentation:
| Reference manual: | dsample.pdf |
| Vignettes: |
example |
Downloads:
| Package source: | dsample_0.91.3.4.tar.gz |
| Windows binaries: | r-devel: dsample_0.91.3.4.zip, r-release: dsample_0.91.3.4.zip, r-oldrel: dsample_0.91.3.4.zip |
| macOS binaries: | r-release (arm64): dsample_0.91.3.4.tgz, r-oldrel (arm64): dsample_0.91.3.4.tgz, r-release (x86_64): dsample_0.91.3.4.tgz, r-oldrel (x86_64): dsample_0.91.3.4.tgz |
| Old sources: | dsample archive |
Linking:
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