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mixedMem  

Tools for Discrete Multivariate Mixed Membership Models
View on CRAN: Click here


Download and install mixedMem package within the R console
Install from CRAN:
install.packages("mixedMem")

Install from Github:
library("remotes")
install_github("cran/mixedMem")

Install by package version:
library("remotes")
install_version("mixedMem", "1.1.2")



Attach the package and use:
library("mixedMem")
Maintained by
Y. Samuel Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-08
Latest Update: 2020-12-01
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.
How to cite:
Y. Samuel Wang (2015). mixedMem: Tools for Discrete Multivariate Mixed Membership Models. R package version 1.1.2, https://cran.r-project.org/web/packages/mixedMem. Accessed 26 Jun. 2026.
Previous versions and publish date:
1.0.2 (2015-05-08 18:14), 1.1.0 (2015-08-17 01:15)
Other packages that cited mixedMem R package
View mixedMem citation profile
Other R packages that mixedMem depends, imports, suggests or enhances
Complete documentation for mixedMem
Functions, R codes and Examples using the mixedMem R package
Some associated functions: ANES . computeBIC . computeELBO . findLabels . gmv_theta . mixedMem-package . mixedMemModel . mmVarFit . permuteLabels . plot.mixedMemModel . rmixedMem . summary.mixedMemModel . vizMem . vizTheta . 
Some associated R codes: ANES.R . RcppExports.R . bic_calculator.R . findLabels.R . mixedMemModel.R . mmVarFit.R . rmixedMem.R . viz_functions.R .  Full mixedMem package functions and examples
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