vizMem: Mixed Membership Visualization
In ysamwang/mixedMem: Tools for Discrete Multivariate Mixed Membership Models

Description Usage Arguments Details

vizMem plots estimates for the group membership scores of each individual. This is the function called by the mixedMemModel class generic plot function.

1 2	vizMem(model, compare = NULL, main = "Estimated Membership", nrow = NULL, ncol = NULL, indices = NULL, groupNames = NULL, fitNames = NULL)

`model`	the `mixedMemModelVI` or `mixedMemModelMCMC` object that will be plotted.
`compare`	a matrix of dimension (Total, K) which contains parameters to compare against the fitted model.
`main`	the main figure title.
`nrow`	the number of rows in each plot.
`ncol`	the number of columns in each plot.
`indices`	the specific individuals which will be shown in the plot. If the argument is left blank, all individuals will be plotted. If the number of individuals to be plotted is larger than `nrow * ncol` then multiple plots will be produced.
`groupNames`	a vector specifying labels for each sub-population.
`fitNames`	a vector of length 2 containing strings which correspond to the names of the models (fitted and comparison).

For a mixedMemModelVI object, the estimates plotted are the normalized φ, which are the posterior means from the variational distribution. For a mixedMemModelMCMC object, the estimates plotted are the point estimates for λ_i. The estimated group membership scores are shown in black, and the estimates from a comparison model (if available) are shown in red. Each plot represents an individual.

ysamwang/mixedMem documentation built on May 4, 2019, 5:33 p.m.