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>.
| Version: | 0.2.0 |
| Depends: | scales, RColorBrewer |
| Imports: | Rcpp, salso |
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
| Published: | 2025-09-24 |
| Author: | Francesco Denti 
[aut, cre],
Laura D'Angelo
[aut, cph] |
| Maintainer: | Francesco Denti <francescodenti.personal at gmail.com> |
| BugReports: | https://github.com/laura-dangelo/SANple/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/laura-dangelo/SANple |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | SANple results |
Documentation:
| Reference manual: | SANple.html , SANple.pdf |
Downloads:
| Package source: | SANple_0.2.0.tar.gz |
| Windows binaries: | r-devel: SANple_0.2.0.zip, r-release: SANple_0.1.1.zip, r-oldrel: SANple_0.1.1.zip |
| macOS binaries: | r-release (arm64): SANple_0.2.0.tgz, r-oldrel (arm64): SANple_0.2.0.tgz, r-release (x86_64): SANple_0.2.0.tgz, r-oldrel (x86_64): SANple_0.2.0.tgz |
| Old sources: | SANple archive |
Linking:
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