plot.miclust

object of class <code>miclust</code> obtained with the function <code><a rd-options="" href="/link/miclust?package=miclust&version=1.2.6" data-mini-rdoc="miclust::miclust">miclust</a></code>.

number of clusters. The default value is the optimal number of clusters
obtained by <code><a rd-options="" href="/link/miclust?package=miclust&version=1.2.6" data-mini-rdoc="miclust::miclust">miclust</a></code>.

further arguments for the plot function.

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Creates a graphical representation of the results of <code><a rd-options="" href="/link/miclust?package=miclust&version=1.2.6" data-mini-rdoc="miclust::miclust">miclust</a></code>.

Implementation of a framework for cluster analysis with selection of the
final number of clusters and an optional variable selection procedure. The package
is designed to integrate the results of multiple imputed datasets while accounting
for the uncertainty that the imputations introduce in the final results. In addition,
the package can also be used for a cluster analysis of the complete cases of a single
dataset. The package also includes specific methods to summarize and plot the results.
The methods are described in Basagana et al. (2013) <doi:10.1093/aje/kws289>.

Jose Barrera-Gomez

miclust

Multiple Imputation in Cluster Analysis

Xavier Basagana

plot.miclust function

object of class <code>miclust</code> obtained with the function <code><a rd-options='' href='miclust'>miclust</a></code>.

number of clusters. The default value is the optimal number of clusters
obtained by <code><a rd-options='' href='miclust'>miclust</a></code>.

Creates a graphical representation of the results of <code><a rd-options='' href='miclust'>miclust</a></code>.

plot.miclust: Shows a graphical representation of the results.

Description

Usage

Arguments

Value

See Also