prabclus: Functions for clustering of presence-absence and abundance data

Distance-based parametric bootstrap tests for clustering, mainly intended for presence-absence data and abundance data (clustering of species distribution ranges). Jaccard, Kulczynski, quantitative Kulczynski and geco distance measures, clustering of presence-absence and abundance data, and nearest neighbor based noise detection (R port of Byers and Raftery's (1998) "NNclean"). Main functions are prabtest, abundtest (for testing), prabclust (for clustering), prabinit (for preparing the data) and NNclean (for noise detection). The help-pages for prabtest, abundtest and prabclust contain simple standard executions. Note that the use of the package mclust (called by function prabclust) is protected by a special license, see http://www.stat.washington.edu/mclust/license.txt, particularly point 6.

Version: 2.1-4
Depends: R (≥ 2.0), MASS
Suggests: mclust, spdep, tripack, maptools, foreign, SparseM, mvtnorm
Published: 2009-11-08
Author: Christian Hennig, Bernhard Hausdorf
Maintainer: Christian Hennig <chrish at stats.ucl.ac.uk>
License: GPL
URL: http://www.homepages.ucl.ac.uk/~ucakche
In views: Cluster, Environmetrics
CRAN checks: prabclus results

Downloads:

Package source: prabclus_2.1-4.tar.gz
MacOS X binary: prabclus_2.1-4.tgz
Windows binary: prabclus_2.1-4.zip
Reference manual: prabclus.pdf
Old sources: prabclus archive

Reverse dependencies:

Reverse suggests: fpc