R: Classification and Clustering of Preference Rankings

# Classification and Clustering of Preference Rankings

## Documentation for package ‘ConsRankClass’ version 1.0.2

- DESCRIPTION file

## Help Pages

augmatrix | Kemeny-equivalent augmented dissimilarity matrix
cca | K-Median Cluster Component Analysis
ccacontrol | Utility function
EVS | European Values Studies (EVS) data
fuzzyconcordance | Normalized Degree of Concordance (NDC) and Adjusted Concordance Index (ACI)
getsubtree | Determine a tree from the main tree-based structure
Irish | Irish Election data set
kunfolding | Kemeny-equivalent augmented unfolding
layouttree | Utility function
mdscontrol | Utility function
nodepath | Path of a terminal node
plot.kunfolding | Plot Kemeny equivalent augmented unfolding solution
plot.ranktree | Plot tree-based structure or pruning sequence of ranktree
predict.ranktree | Predict the median rankings for new observations
print.cca | S3 methods for cca
print.kunfolding | S3 methods for kunfolding
print.ranktree | S3 methods for ranktree
ranktree | Recursive partitioning method for the prediction of preference rankings based upon Kemeny distances
ranktreecontrol | Utility function
summary.cca | S3 methods for ranktree
summary.kunfolding | S3 methods for kunfolding
summary.ranktree | S3 methods for ranktree
treepaths | Path of a terminal node
Univranks | University rankings dataset.
validatetree | Validation of the tree for preference rankings
vecTaux | Tau_x rank correlation coefficient for vectors