Authors@R: c( person(given = "Lampros", family = "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0002-8024-1546")), person(given = "Conrad", family = "Sanderson", role = "cph", comment = "Author of the C++ Armadillo library"), person(given = "Ryan", family = "Curtin", role = "cph", comment = "Author of the C++ Armadillo library"), person(given = "Siddharth", family = "Agrawal", role = "cph", comment = "Author of the C code of the Mini-Batch-Kmeans algorithm (https://github.com/siddharth-agrawal/Mini-Batch-K-Means)"), person(given = "Brendan", family = "Frey", email = "frey@psi.toronto.edu", role = "cph", comment = "Author of the matlab code of the Affinity propagation algorithm (for commercial use please contact the author of the matlab code)"), person(given = "Delbert", family = "Dueck", role = "cph", comment = "Author of the matlab code of the Affinity propagation algorithm"), person(given = "Vitalie", family = "Spinu", email = "spinuvit@gmail.com", role = "ctb", comment = c(Github = "Github Contributor")) )
Vitalie Spinu [ctb] (Github Contributor)

Description: Nonparametric rank based tests (rank-sum tests and signed-rank tests) for clustered data, especially useful for clusters having informative cluster size and intra-cluster group size.

Depends: R (>= 2.2.4), Rcpp, clusterCrit, cluster, WeightedCluster
Title: Assessment of Stability of Individual Object or Clusters in
Author: Etienne Lord, Francois-Joseph Lapointe, and Vladimir Makarenkov
Description: Allows one to assess the stability of individual objects, clusters and whole clustering solutions based on repeated runs of the K-means and K-medoids partitioning algorithms.

Title: Assessment of Stability of Individual Objects or Clusters in

Depends: R (>= 2.2.4), Rcpp, clusterCrit, cluster, copula (>= 0.999),
Author: Etienne Lord, Matthieu Willems, Francois-Joseph Lapointe, and Vladimir
Description: Allows one to assess the stability of individual objects, clusters
and whole clustering solutions based on repeated runs of the K-means and K-medoids