Learn R Programming
⚠️There's a newer version (1.1.2) of this package.Take me there.

mixedMem (version 1.0.2)

Tools for Discrete Multivariate Mixed Membership Models

Description

Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva 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).

Copy Link

Version

Install

install.packages('mixedMem')

Monthly Downloads

198

Version

1.0.2

License

GPL (>= 2)

Maintainer

Y Samuel Wang

Last Published

May 8th, 2015

Functions in mixedMem (1.0.2)

mmVarFit

Fit Mixed Membership models using variational EM
rmixedMem

Simulate Mixed Membership Data
findLabels

Mixed Membership Post-Processing
summary.mixedMemModel

Summary of a Mixed Membership Model
mixedMemModel

Constructor for a Mixed Membership Model
vizTheta

Mixed Membership Visualization
vizMem

Mixed Membership Visualization
permuteLabels

Mixed Membership Post-Processing
gmv_theta

Point estimates from Gross and Manrique-Vallier 2014
mixedMem-package

Tools for fitting discrete multivariate mixed membership models
computeBIC

Compute the approximate BIC
computeELBO

Compute a lower bound on the log-likelihood (ELBO)
plot.mixedMemModel

Plot a Mixed Membership Model
ANES

Responses from 1983 American National Election Survey Pilot