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Package: EMbC
Type: Package
Title: Expectation-Maximization Binary Clustering
Version: 1.9.4
Date: 2016-03-21
Author: Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Maintainer: Joan Garriga <jgarriga@ceab.csic.es>
Description: Unsupervised, multivariate, clustering algorithm for meaningful binary clustering and taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of the tracks based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator.
URL: 'Expectation-Maximization Binary Clustering for Behavioural
Annotation', (submitted to PLOS ONE)
License: GPL-3 | file LICENSE
Imports: sp, methods, RColorBrewer, mnormt, maptools
Depends: move
Suggests: rgl, knitr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-21 19:36:03 UTC; jgarriga
Repository: CRAN
Date/Publication: 2016-03-22 00:23:37
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providing 
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