MoE_plotLogLik: Plot the Log-Likelihood of a MoEClust Mixture Model

In MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component

Plot the Log-Likelihood of a MoEClust Mixture Model

Description

Plots the log-likelihood at every iteration of the EM/CEM algorithm used to fit a MoEClust mixture model.

Usage

MoE_plotLogLik(res,
               type = "l",
               xlab = "Iteration",
               ylab = "Log-Likelihood",
               xaxt = "n",
               ...)

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.
type, xlab, ylab, xaxt	These graphical parameters retain their usual definitions from plot.
...	Catches unused arguments, or additional arguments to be passed to plot.

Value

A plot of the log-likelihood versus the number EM iterations. A list with the vector of log-likelihood values and the final value at convergence can also be returned invisibly.

Note

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

res$LOGLIK can also be plotted, to compare maximal log-likelihood values for all fitted models.

Author(s)

Keefe Murphy - <[e-mail]>

See Also

MoE_clust, plot.MoEClust,

Examples

data(ais)
res <- MoE_clust(ais[,3:7], gating= ~ BMI, expert= ~ sex, tau0=0.1,
                 G=2, modelNames="EVE", network.data=ais)
(ll <- MoE_plotLogLik(res))

MoEClust documentation built on Dec. 28, 2022, 2:24 a.m.