Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo R package SANple version 0.2.0 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>. Software Depends: scales, RColorBrewer Imports: Rcpp, salso LinkingTo: Rcpp, RcppArmadillo, RcppProgress Francesco Denti <francescodenti.personal@gmail.com> Comprehensive R Archive Network (CRAN) Francesco Denti [aut, cre] (ORCID: <https://orcid.org/0000-0003-2978-4702>), Laura D'Angelo [aut, cph] (ORCID: <https://orcid.org/0000-0001-5034-7414>) MIT + file LICENSE (https://CRAN.R-project.org/package=SANple/LICENSE) 2025-09-24 application/tgz https://CRAN.R-project.org/package=SANple doi:10.32614/CRAN.package.SANple