DESCRIPTION

Package: SANple
Type: Package
Title: Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo
Version: 0.2.0
Date: 2024-10-02
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: 7.3.2
Encoding: UTF-8