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mixedMem

Tools for Discrete Multivariate Mixed Membership Models

v1.1.2 · Dec 1, 2020 · GPL (>= 2)

Description

Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva et al (2004). This package uses a Variational EM approach by approximating the posterior distribution of latent memberships and selecting hyperparameters through a pseudo-MLE procedure. Currently supported data types are Bernoulli, multinomial and rank (Plackett-Luce). The extended GoM model with fixed stayers from Erosheva et al (2007) is now also supported. See Airoldi et al (2014) for other examples of mixed membership models.

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OK r-devel-linux-x86_64-debian-gcc

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OK r-devel-windows-x86_64

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  5.3Mb
  sub-directories of 1Mb or more:
    libs   4.8Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.1Mb
  sub-directories of 1Mb or more:
    libs   4.5Mb
OK r-oldrel-windows-x86_64

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OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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Check History

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  5.3Mb
  sub-directories of 1Mb or more:
    libs   4.8Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.1Mb
  sub-directories of 1Mb or more:
    libs   4.5Mb

Dependency Network

Dependencies Reverse dependencies Rcpp gtools mixedMem

Version History

new 1.1.2 Mar 9, 2026