Package: SANple 0.2.0
Francesco Denti
SANple: Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo
Estimate Bayesian nested mixture models via Markov Chain Monte Carlo methods. Specifically, the package implements the common atoms model (Denti et al., 2023), and hybrid finite-infinite models. All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additional functions are provided to help analyzing the results of the fitting procedure. References: Denti, Camerlenghi, Guindani, Mira (2023) <doi:10.1080/01621459.2021.1933499>, D’Angelo, Denti (2024) <doi:10.1214/24-BA1458>.
Authors:
SANple_0.2.0.tar.gz
SANple_0.2.0.zip(r-4.5)SANple_0.2.0.zip(r-4.4)SANple_0.2.0.zip(r-4.3)
SANple_0.2.0.tgz(r-4.4-x86_64)SANple_0.2.0.tgz(r-4.4-arm64)SANple_0.2.0.tgz(r-4.3-x86_64)SANple_0.2.0.tgz(r-4.3-arm64)
SANple_0.2.0.tar.gz(r-4.5-noble)SANple_0.2.0.tar.gz(r-4.4-noble)
SANple_0.2.0.tgz(r-4.4-emscripten)SANple_0.2.0.tgz(r-4.3-emscripten)
SANple.pdf |SANple.html✨
SANple/json (API)
NEWS
| # Install 'SANple' in R: |
| install.packages('SANple', repos = c('https://laura-dangelo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/laura-dangelo/sanple/issues
Last updated 2 months agofrom:a615d846e3. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win-x86_64 | OK | Nov 01 2024 |
| R-4.5-linux-x86_64 | OK | Nov 01 2024 |
| R-4.4-win-x86_64 | OK | Nov 01 2024 |
| R-4.4-mac-x86_64 | OK | Nov 01 2024 |
| R-4.4-mac-aarch64 | OK | Nov 01 2024 |
| R-4.3-win-x86_64 | OK | Nov 01 2024 |
| R-4.3-mac-x86_64 | OK | Nov 01 2024 |
| R-4.3-mac-aarch64 | OK | Nov 01 2024 |
Exports:estimate_clusterssample_CAMsample_fiSANsample_fSANtraceplot
Dependencies:clicolorspacefarvergluelabelinglifecyclemunsellR6RColorBrewerRcppRcppArmadilloRcppProgressrlangsalsoscalesviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate observational and distributional clusters | estimate_clusters |
| Plotting MCMC output | plot.SANmcmc |
| Print cluster summary | print.SANclusters |
| Print MCMC output | print.SANmcmc |
| Sample CAM | sample_CAM |
| Sample fiSAN with sparse mixtures | sample_fiSAN |
| Sample fSAN with sparse mixtures | sample_fSAN |
| Traceplot: plot MCMC chains | traceplot |
