Introduction | Theory and Implementation of MfUSampler | Using MfUSampler | Performance improvement | Summary | Setup | Proof of extended Gibbs sampling lemma
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:
MfUSampler_1.1.0.tar.gz
MfUSampler_1.1.0.zip(r-4.7-any)MfUSampler_1.1.0.zip(r-4.6-any)MfUSampler_1.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:810765479b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 266 | ||
| linux-release-x86_64 | OK | 131 | ||
| macos-release-arm64 | OK | 102 | ||
| macos-oldrel-arm64 | OK | 112 | ||
| windows-devel | OK | 65 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 109 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Constructing Control List for MfU.Sample | MfU.Control |
| Drawing MCMC Samples from a Multivariate Distribution Using a Univariate Sampler | MfU.Sample MfU.Sample.Run MfUSampler |
| Sample-based prediction using "MfU" Objects | predict.MfU print.summary.predict.MfU summary.predict.MfU |
| Summarizing and plotting "MfU" Objects | plot.MfU print.summary.MfU summary.MfU |
