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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>.
Version: | 0.1.1 |
Depends: | scales, RColorBrewer |
Imports: | Rcpp, matrixStats |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2024-05-15 |
DOI: | 10.32614/CRAN.package.SANvi |
Author: | Francesco Denti |
Maintainer: | Francesco Denti <francescodenti.personal at gmail.com> |
BugReports: | https://github.com/fradenti/SANvi/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/fradenti/SANvi |
NeedsCompilation: | yes |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | SANvi results |
Reference manual: | SANvi.pdf |
Package source: | SANvi_0.1.1.tar.gz |
Windows binaries: | r-devel: SANvi_0.1.1.zip, r-release: SANvi_0.1.1.zip, r-oldrel: SANvi_0.1.1.zip |
macOS binaries: | r-release (arm64): SANvi_0.1.1.tgz, r-oldrel (arm64): SANvi_0.1.1.tgz, r-release (x86_64): SANvi_0.1.1.tgz, r-oldrel (x86_64): SANvi_0.1.1.tgz |
Old sources: | SANvi archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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