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-4.5)MfUSampler_1.1.0.zip(r-4.4)MfUSampler_1.1.0.zip(r-4.3)
MfUSampler_1.1.0.tgz(r-4.4-any)MfUSampler_1.1.0.tgz(r-4.3-any)
MfUSampler_1.1.0.tar.gz(r-4.5-noble)MfUSampler_1.1.0.tar.gz(r-4.4-noble)
MfUSampler_1.1.0.tgz(r-4.4-emscripten)MfUSampler_1.1.0.tgz(r-4.3-emscripten)
MfUSampler.pdf |MfUSampler.html✨
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 2 years agofrom:810765479b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
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 |
