MoE_plotCrit function

Model Selection Criteria Plot for MoEClust Mixture Models

Plots the BIC, ICL, AIC, or log-likelihood values of a fitted MoEClust object.

MoE_plotCrit(res,
             criterion = c("bic", "icl", "aic", "loglik", "df", "iters"),
             ...)

Arguments

• res: An object of class "MoEClust" generated by MoE_clust, or an object of class "MoECompare" generated by MoE_compare. Models with a noise component are facilitated here too.
• criterion: The criterion to be plotted. Defaults to "bic". Recall that MoE_control only allows "bic", "icl", and "aic" to be used as model selection criteria within MoE_clust. The same applies to MoE_control. Uppercase crit will be coerced to lowercase.
• ...: Catches other arguments, or additional arguments to be passed to plot.mclustBIC (or equivalent functions for the other criterion arguments). In particular, the argument legendArgs to plot.mclustBIC can be passed.

Returns

A plot of the values of the chosen criterion. The values themselves can also be returned invisibly.

Note

plot.MoEClust is a wrapper to MoE_plotCrit which accepts the default arguments, and also produces other types of plots.

Examples

# data(ais)
# res   <- MoE_clust(ais[,3:7], expert= ~ sex, network.data=ais)
# (crit <- MoE_plotCrit(res))

# Plots can also be produced directly
# plot(res$ICL)

See Also

MoE_clust, MoE_control, plot.MoEClust, plot.mclustBIC

Author(s)

Keefe Murphy - <keefe.murphy@mu.ie >