Package: MfUSampler 1.1.0

MfUSampler: Multivariate-from-Univariate (MfU) MCMC Sampler

Convenience functions for multivariate MCMC using univariate samplers including: slice sampler with stepout and shrinkage (Neal (2003) <doi:10.1214/aos/1056562461>), adaptive rejection sampler (Gilks and Wild (1992) <doi:10.2307/2347565>), adaptive rejection Metropolis (Gilks et al (1995) <doi:10.2307/2986138>), and univariate Metropolis with Gaussian proposal.

Authors:Alireza S. Mahani, Mansour T.A. Sharabiani

MfUSampler_1.1.0.tar.gz
MfUSampler_1.1.0.zip(r-4.7)MfUSampler_1.1.0.zip(r-4.6)MfUSampler_1.1.0.zip(r-4.5)
MfUSampler_1.1.0.tgz(r-4.6-any)MfUSampler_1.1.0.tgz(r-4.5-any)
MfUSampler_1.1.0.tar.gz(r-4.7-any)MfUSampler_1.1.0.tar.gz(r-4.6-any)
MfUSampler_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MfUSampler/json (API)

# Install 'MfUSampler' in R:
install.packages('MfUSampler', repos = c('https://asmahani.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.08 score 2 packages 20 scripts 260 downloads 1 mentions 3 exports 4 dependencies

Last updated from:810765479b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK137
linux-release-x86_64OK100
macos-release-arm64OK67
macos-oldrel-arm64OK83
windows-develOK90
windows-releaseOK62
windows-oldrelOK80
wasm-releaseOK91

Exports:MfU.ControlMfU.SampleMfU.Sample.Run

Dependencies:arscodadlmlattice

Multivariate-from-Univariate MCMC Sampler: R Package MfUSampler

Rendered fromMfUSampler.Rnwusingutils::Sweaveon May 10 2026.

Last update: 2015-08-13
Started: 2014-12-22

Readme and manuals

Help Manual

Help pageTopics
Constructing Control List for MfU.SampleMfU.Control
Drawing MCMC Samples from a Multivariate Distribution Using a Univariate SamplerMfU.Sample MfU.Sample.Run MfUSampler
Sample-based prediction using "MfU" Objectspredict.MfU print.summary.predict.MfU summary.predict.MfU
Summarizing and plotting "MfU" Objectsplot.MfU print.summary.MfU summary.MfU