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-4.5-noble)dsample_0.91.3.4.tar.gz(r-4.4-noble)
dsample_0.91.3.4.tgz(r-4.4-emscripten)dsample_0.91.3.4.tgz(r-4.3-emscripten)
dsample.pdf |dsample.html✨
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 2 years agofrom:abb162304e. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux | NOTE | Dec 08 2024 |
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 |