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 | 
| DOI: | 10.32614/CRAN.package.SANple | 
| Author: | Francesco Denti | 
| 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 | 
| Reference manual: | SANple.html , SANple.pdf | 
| Package source: | SANple_0.2.0.tar.gz | 
| Windows binaries: | r-devel: SANple_0.2.0.zip, r-release: SANple_0.2.0.zip, r-oldrel: SANple_0.2.0.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 | 
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