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Fitting Shared Atoms Nested Models via Variational Bayes

v0.1.1 · May 15, 2024 · MIT + file LICENSE

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>.

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installed package size

  installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.6Mb
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installed package size

  installed size is  6.3Mb
  sub-directories of 1Mb or more:
    libs   5.7Mb
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.1Mb
  sub-directories of 1Mb or more:
    libs   5.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.3Mb
  sub-directories of 1Mb or more:
    libs   5.7Mb

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Version History

new 0.1.1 Mar 9, 2026