dsample: Discretization-Based Direct Random Sample Generation

Two discretization-based Monte Carlo algorithms, namely the Fu-Wang algorithm and the Wang-Lee algorithm, are provided for random sample generation from a high dimensional distribution of complex structure. The normalizing constant of the target distribution needs not to be known.

AuthorChel Hee Lee [aut, cre], Liqun Wang [aut]
Date of publication2015-11-30 06:13:11
MaintainerChel Hee Lee <gnustats@gmail.com>
LicenseGPL (>= 2)
Version0.91.2.2
https://r-forge.r-project.org/projects/wanglee/

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Files in this package

dsample
dsample/NAMESPACE
dsample/demo
dsample/demo/mix2.R
dsample/demo/00Index
dsample/demo/mix3.R
dsample/R
dsample/R/dsample.R
dsample/MD5
dsample/DESCRIPTION
dsample/ChangeLog
dsample/man
dsample/man/dsample.Rd dsample/man/plot.Rd dsample/man/summary_dsample.Rd

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