The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
Maintainer: | Chel Hee Lee <chelhee.lee at ucalgary.ca> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | dsample results |
Reference manual: | dsample.pdf |
Vignettes: |
example |
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 |
Please use the canonical form https://CRAN.R-project.org/package=dsample 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.
Health stats visible at Monitor.