CRAN/E | ROCFTP.MMS

ROCFTP.MMS

Perfect Sampling

Installation

About

The algorithm provided in this package generates perfect sample for unimodal or multimodal posteriors. Read Once Coupling From The Past, with Metropolis-Multishift is used to generate a perfect sample for a given posterior density based on the two extreme starting paths, minimum and maximum of the most interest range of the posterior. It uses the monotone random operation of multishift coupler which allows to sandwich all of the state space in one point. It means both Markov Chains starting from the maximum and minimum will be coalesced. The generated sample is independent from the starting points. It is useful for mixture distributions too. The output of this function is a real value as an exact draw from the posterior distribution.

github.com/nabipoor/ROCFTP.MMS

Key Metrics

Version 1.0.0
R ≥ 4.0.0
Published 2022-02-18 810 days ago
Needs compilation? no
License MIT
License File
CRAN checks ROCFTP.MMS results
Language en-us

Downloads

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Maintainer

Maintainer

Majid Nabipoor

nabipoor@ualberta.ca

Authors

Majid Nabipoor

aut / cre / cph

Duncan Murdoch

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 4.0.0

Imports

stats ≥ 4.0.0
vctrs ≥ 0.3.8

Suggests

rmarkdown
knitr
testthat ≥ 3.0.0