Package: SANple
Type: Package
Title: Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo
Version: 0.2.0
Date: 2025-09-24
Authors@R: c(
    person("Francesco", "Denti", ,"francescodenti.personal@gmail.com", 
    role = c("aut","cre"),
    comment = c(ORCID = "0000-0003-2978-4702")),
    person("Laura", "D'Angelo", ,"laura.dangelo@live.com", 
    role = c("aut", "cph"),
    comment = c(ORCID = "0000-0001-5034-7414"))
  )
Maintainer: Francesco Denti <francescodenti.personal@gmail.com>
URL: https://github.com/laura-dangelo/SANple
BugReports: https://github.com/laura-dangelo/SANple/issues
Description: 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>.
License: MIT + file LICENSE
Imports: Rcpp, salso
Depends: scales, RColorBrewer
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
RoxygenNote: 7.3.3
Encoding: UTF-8
Config/pak/sysreqs: libclang-dev
Repository: https://laura-dangelo.r-universe.dev
Date/Publication: 2025-09-26 18:45:10 UTC
RemoteUrl: https://github.com/laura-dangelo/sanple
RemoteRef: HEAD
RemoteSha: 3d24d2bd1c8f30dc4602684e0cbb370d2e4a8540
NeedsCompilation: yes
Packaged: 2026-06-23 08:59:38 UTC; root
Author: 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>)