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Package: dsample 0.91.3.4
Chel Hee Lee
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>.
Authors:
dsample_0.91.3.4.tar.gz
dsample_0.91.3.4.tar.gz(r-4.7-any)dsample_0.91.3.4.tar.gz(r-4.6-any)
dsample_0.91.3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dsample/json (API)
| # Install 'dsample' in R: |
| install.packages('dsample', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:abb162304e. Checks:2 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 111 | ||
| source / vignettes | OK | 194 | ||
| linux-release-x86_64 | NOTE | 114 | ||
| wasm-release | OK | 105 |
Exports:dsample
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generating Random Samples via Wang-Lee algorithm | dsample |
| Visualizing Wang-Lee Samples | plot.dsample |
| Summary Statistics of Marginal Distributions | summary.dsample |