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ROCFTP.MMS  

Perfect Sampling
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/ROCFTP.MMS")

Install by package version:
library("remotes")
install_version("ROCFTP.MMS", "1.0.0")



Attach the package and use:
library("ROCFTP.MMS")
Maintained by
Majid Nabipoor
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-18
Latest Update: 2022-02-18
Description:
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.
How to cite:
Majid Nabipoor (2022). ROCFTP.MMS: Perfect Sampling. R package version 1.0.0, https://cran.r-project.org/web/packages/ROCFTP.MMS
Previous versions and publish date:
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Other R packages that ROCFTP.MMS depends, imports, suggests or enhances
Functions, R codes and Examples using the ROCFTP.MMS R package
Some associated functions: ROCFTP.MMS . 
Some associated R codes: CFTP.R . LR.R . M.MSH.sampler.R . ROCFTP.MMS.R . multishift.R .  Full ROCFTP.MMS package functions and examples
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