Man pages for miclust
Multiple Imputation in Cluster Analysis

assignprobandkappasComputes probabilities of (relabeled) cluster and kappas.
centerdataCenter data.
centroidComputes centroid.
doclusterkmeansPerforms K-means clustering with optional variable selection.
doclusterkmeansbackwardPerforms K-means with backward selection.
doclusterkmeansforwardPerforms K-means with forward selection.
doclusterkmeansforwardhcPerforms K-means with forward selection.
doclusterkmeansforwardrandPerforms K-means with forward selection.
doclusterkmeansnonePerforms K-means without variable selection.
euclideanComputes euclidean distance.
getcritcfkccaComputes CritCF.
getdataCreates a 'midata' object.
getinitialcentroidsComputes initial centroids.
getvariablesfrequencyCalculates the ranked selection frequency of the variables.
manhattanComputes Manhattan distance.
miclustCluster analysis in multiple imputed data sets with optional...
miclust-packagemiclust-package: integrating multiple imputation with cluster...
minhanesMultiple imputation for nhanes data.
plot.miclustShows a graphical representation of the results.
print.miclustPrints the results.
print.summary.miclustPrints the summary of results.
relabelclustersRelabel clusters.
standardizedataStandardize data.
summary.miclustSummarizes the results.
miclust documentation built on Feb. 8, 2022, 1:06 a.m.