Authors@R: person("Matthias", "Studer", email =
"matthias.studer@unige.ch", role = c("aut", "cre"))
Depends: R (>= 2.8.1), TraMineR, cluster
Description: The WeightedCluster library provides functions to cluster
states sequences and weighted data. These functionalities
include aggregating replicated cases, an optimized weighted PAM
algorithm, function computing cluster quality measures for a
range of clustering solutions and miscellaneous functions to
plot clustering solutions of state sequences.

Packaged: 2013-03-01 12:23:07 UTC; Matthias-Util

Authors@R: person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre"))
Depends: R (>= 3.0.0), TraMineR (>= 2.0-6), cluster
Suggests: RUnit, knitr, isotone, vegan, lattice
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.

Depends: R (>= 3.0.0), TraMineR(>= 1.8-8), cluster
Description: The WeightedCluster library provides functions to cluster states sequences and weighted data. These functionalities include aggregating replicated cases, an optimized weighted PAM algorithm, function computing cluster quality measures for a range of clustering solutions and miscellaneous functions to plot clustering solutions of state sequences.
Packaged: 2014-01-19 13:09:29 UTC; Matthias-Util

Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided.

Title: Weighted Portmanteau Tests for Time Series Goodness-of-fit
Author: Thomas J. Fisher and Colin M. Gallagher
Maintainer: Thomas J. Fisher <fishertho@umkc.edu>
Description: This packages contains the Weighted Portmanteau Tests as
described in "New Weighted Portmanteau Statistics for Time
Series Goodness-of-Fit Testing' accepted for publication by the
Journal of the American Statistical Association.