Package: EMbC
Type: Package
Title: Expectation-Maximization Binary Clustering
Version: 2.0.0
Date: 2016-11-01
Author: Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Maintainer: Joan Garriga <jgarriga@ceab.csic.es>
Description: Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").
URL: <doi:10.1371/journal.pone.0151984>
License: GPL-3 | file LICENSE
Imports: Rcpp (>= 0.11.0), sp, methods, RColorBrewer, mnormt, maptools
Suggests: move, rgl, knitr
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-11-09 07:05:29 UTC; jgarriga
Repository: CRAN
Date/Publication: 2016-11-10 08:18:34
Built: R 3.2.5; x86_64-apple-darwin13.4.0; 2016-11-11 06:16:20 UTC; unix
Archs: EMbC.so.dSYM
