Package: SANvi
Type: Package
Title: Fitting Shared Atoms Nested Models via Variational Bayes
Version: 0.1.1
Date: 2024-05-14
Authors@R: c(
    person("Francesco", "Denti", ,"francescodenti.personal@gmail.com", 
    role = c("aut", "cre", "cph"),
    comment = c(ORCID = "0000-0001-5034-7414")),
    person("Laura", "D'Angelo", ,"laura.dangelo@live.com", 
    role = c("aut"),
    comment = c(ORCID = "0000-0003-2978-4702"))
  )
Maintainer: Francesco Denti <francescodenti.personal@gmail.com>
URL: https://github.com/fradenti/SANvi
BugReports: https://github.com/fradenti/SANvi/issues
Description: An efficient tool for fitting the nested common and shared atoms models using variational Bayes approximate inference for fast computation. 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 analyze 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.1
Imports: Rcpp, matrixStats
Depends: scales, RColorBrewer
LinkingTo: Rcpp, RcppArmadillo
Language: en-US
NeedsCompilation: yes
Packaged: 2024-05-15 11:11:38 UTC; francescodenti
Author: Francesco Denti [aut, cre, cph]
    (<https://orcid.org/0000-0001-5034-7414>),
  Laura D'Angelo [aut] (<https://orcid.org/0000-0003-2978-4702>)
Repository: CRAN
Date/Publication: 2024-05-15 11:40:06 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 20:02:31 UTC; unix
Archs: SANvi.so.dSYM
