dsample: Discretization-Based Direct Random Sample Generation
Version 0.91.1.5

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 publication2015-07-01 23:08:22
MaintainerChel Hee Lee <gnustats@gmail.com>
LicenseGPL (>= 2)
Version0.91.1.5
URL https://r-forge.r-project.org/projects/wanglee/
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("dsample", repos="http://R-Forge.R-project.org")

Popular man pages

dsample: Random Samples Generation Through The Wang-Lee and Fu-Wang...
summary.dsample: Generating Basic Summary Statistics of Marginal Distributions
See all...

All man pages Function index File listing

Man pages

dsample: Random Samples Generation Through The Wang-Lee and Fu-Wang...
summary.dsample: Generating Basic Summary Statistics of Marginal Distributions

Functions

dsample Man page Source code
summary.dsample Man page Source code

Files

ChangeLog
DESCRIPTION
NAMESPACE
R
R/dsample.R
man
man/dsample.Rd
man/summary.dsample.Rd
dsample documentation built on May 21, 2017, 12:32 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.