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: 2026-06-19 08:53:44 UTC; root
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://jgarriga65.r-universe.dev
Date/Publication: 2023-10-03 15:30:52 UTC
RemoteUrl: https://github.com/cran/EMbC
RemoteRef: HEAD
RemoteSha: 8c4a8b218b40b3f52547e891fa3fc7201d1d43ae