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), its finite version (D'Angelo et al., 2023), and a hybrid finite-infinite model. 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, Canale, Yu, Guindani (2023) <doi:10.1111/biom.13626>.

Version: 0.1.1
Depends: scales, RColorBrewer
Imports: Rcpp, salso
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Published: 2024-06-02
DOI: 10.32614/CRAN.package.SANple
Author: Francesco Denti ORCID iD [aut, cre], Laura D'Angelo ORCID iD [aut, cph]
Maintainer: Francesco Denti <francescodenti.personal at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: SANple results


Reference manual: SANple.pdf


Package source: SANple_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SANple_0.1.1.tgz, r-oldrel (arm64): SANple_0.1.1.tgz, r-release (x86_64): SANple_0.1.1.tgz, r-oldrel (x86_64): SANple_0.1.1.tgz
Old sources: SANple archive


Please use the canonical form to link to this page.