Package: EMbC
Type: Package
Title: Expectation-Maximization Binary Clustering
Version: 2.0.3
Date: 2019-12-16
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 analysis in movement ecology 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
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-12-16 17:30:24 UTC; jgarriga
Repository: CRAN
Date/Publication: 2019-12-16 19:20:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:12:21 UTC; windows
Archs: i386, x64
