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").
| Version: | 2.0.2 |
| Imports: | Rcpp (≥ 0.11.0), sp, methods, RColorBrewer, mnormt, maptools |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | move, rgl, knitr |
| Published: | 2019-09-04 |
| Author: | Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus |
| Maintainer: | Joan Garriga <jgarriga at ceab.csic.es> |
| License: | GPL-3 | file LICENSE |
| URL: | <doi:10.1371/journal.pone.0151984> |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | SpatioTemporal |
| CRAN checks: | EMbC results |
| Reference manual: | EMbC.pdf |
| Vignettes: |
The EMbC R-package: quick reference |
| Package source: | EMbC_2.0.2.tar.gz |
| Windows binaries: | r-devel: EMbC_2.0.2.zip, r-devel-gcc8: EMbC_2.0.2.zip, r-release: EMbC_2.0.2.zip, r-oldrel: EMbC_2.0.2.zip |
| OS X binaries: | r-release: EMbC_2.0.2.tgz, r-oldrel: EMbC_2.0.2.tgz |
| Old sources: | EMbC archive |
Please use the canonical form https://CRAN.R-project.org/package=EMbC to link to this page.