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dsample  

Discretization-Based Direct Random Sample Generation
View on CRAN: Click here


Download and install dsample package within the R console
Install from CRAN:
install.packages("dsample")

Install from Github:
library("remotes")
install_github("cran/dsample")

Install by package version:
library("remotes")
install_version("dsample", "0.91.3.4")



Attach the package and use:
library("dsample")
Maintained by
Chel Hee Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-07-30
Latest Update: 2023-02-09
Description:
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) and exercised in Lee (2009) .
How to cite:
Chel Hee Lee (2012). dsample: Discretization-Based Direct Random Sample Generation. R package version 0.91.3.4, https://cran.r-project.org/web/packages/dsample. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.90 (2012-07-30 20:46), 0.91.1.5 (2015-07-02 06:47), 0.91.1 (2013-05-14 06:42), 0.91.2.2 (2015-11-30 06:13)
Other packages that cited dsample R package
View dsample citation profile
Other R packages that dsample depends, imports, suggests or enhances
Complete documentation for dsample
Functions, R codes and Examples using the dsample R package
Some associated functions: dsample . plot.dsample . summary.dsample . 
Some associated R codes: dsample.R .  Full dsample package functions and examples
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