Package: SANvi
Type: Package
Title: Fitting Shared Atoms Nested Models via Variational Bayes
Version: 0.1.1.9000
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
Repository: https://fradenti.r-universe.dev
Date/Publication: 2024-06-26 12:46:47 UTC
RemoteUrl: https://github.com/fradenti/sanvi
RemoteRef: HEAD
RemoteSha: b23d33df58735f30246f5b1fec080c0fcfb4f8e8
NeedsCompilation: yes
Packaged: 2026-10-08 09:00:14 UTC; root
Author: Francesco Denti [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-5034-7414>),
  Laura D'Angelo [aut] (ORCID: <https://orcid.org/0000-0003-2978-4702>)