Package: EMbC
Type: Package
Title: Expectation-Maximization Binary Clustering
Version: 2.0.4
Date: 2023-09-26
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, suntools
Suggests: move, sf, rgl, knitr
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-10-03 11:11:25 UTC; jgarriga
Repository: CRAN
Date/Publication: 2023-10-03 13:40:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 02:46:55 UTC; unix
Archs: EMbC.so.dSYM
