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.

Version: 0.91.2.2
Depends: R (≥ 2.7.0)
Imports: stats, graphics, MASS
Published: 2015-11-30
Author: Chel Hee Lee [aut, cre], Liqun Wang [aut]
Maintainer: Chel Hee Lee <gnustats at gmail.com>
Contact: Chel Hee Lee <chl948@mail.usask.ca>
BugReports: chl948@mail.usask.ca
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://r-forge.r-project.org/projects/wanglee/
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: dsample results

Downloads:

Reference manual: dsample.pdf
Package source: dsample_0.91.2.2.tar.gz
Windows binaries: r-devel: dsample_0.91.2.2.zip, r-release: dsample_0.91.2.2.zip, r-oldrel: dsample_0.91.2.2.zip
OS X El Capitan binaries: r-release: dsample_0.91.2.2.tgz
OS X Mavericks binaries: r-oldrel: dsample_0.91.2.2.tgz
Old sources: dsample archive

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