The package offers a dendrogram representation of series of labels, this is specially needed in Markov chain Monte Carlo clustering. If you have a dendrogram in your mind you can easily put series of meaningful labels in a matrix and heights in a vector, then convert them to a dendrogram abject.
|Author||Vahid PARTOVI NIA, Anthony Davison, and Arpit Chaudhary|
|Date of publication||2013-01-18 08:24:42|
|Maintainer||Vahid PARTOVI NIA <firstname.lastname@example.org>|
|License||GPL (>= 2)|
colorplot: colored dendrogram plot of a labclust object
is.aggvec: checks wheather or not one vector is agglomeration of the...
labclust: labclust is an object
labeltodendro: converts series of labels to a labclust object
labeltotable: counts the number of labels appeared in a label matrix and...
plot.labclust: dendrogram plot of a labclust object
relabel: relabels a vector, insisting that the labels appear in...
relabel.matrix: relabels a matrix label insisting that the labels of each row...
selectlabels: it is useful to sort labels in agglomerative order
tabletodendro: converts a label matrix and a frequency vector to a labclust...