Movatterモバイル変換


[0]ホーム

URL:


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), 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>.

Version:0.2.0
Depends:scales,RColorBrewer
Imports:Rcpp,salso
LinkingTo:Rcpp,RcppArmadillo,RcppProgress
Published:2025-09-24
DOI:10.32614/CRAN.package.SANple
Author:Francesco DentiORCID iD [aut, cre], Laura D'AngeloORCID iD [aut, cph]
Maintainer:Francesco Denti <francescodenti.personal at gmail.com>
BugReports:https://github.com/laura-dangelo/SANple/issues
License:MIT + fileLICENSE
URL:https://github.com/laura-dangelo/SANple
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:SANple results

Documentation:

Reference manual:SANple.html ,SANple.pdf

Downloads:

Package source: SANple_0.2.0.tar.gz
Windows binaries: r-devel:SANple_0.2.0.zip, r-release:SANple_0.2.0.zip, r-oldrel:SANple_0.2.0.zip
macOS binaries: r-release (arm64):SANple_0.2.0.tgz, r-oldrel (arm64):SANple_0.2.0.tgz, r-release (x86_64):SANple_0.2.0.tgz, r-oldrel (x86_64):SANple_0.2.0.tgz
Old sources: SANple archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SANpleto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp