segclust2d: Bivariate Segmentation/Clustering Methods and Tools

Provides two methods for segmentation and joint segmentation/clustering of bivariate time-series. Originally intended for ecological segmentation (home-range and behavioural modes) but easily applied on other series, the package also provides tools for analysing outputs from R packages 'moveHMM' and 'marcher'. The segmentation method is a bivariate extension of Lavielle's method available in 'adehabitatLT' (Lavielle, 1999 <doi:10.1016/S0304-4149(99)00023-X> and 2005 <doi:10.1016/j.sigpro.2005.01.012>). This method rely on dynamic programming for efficient segmentation. The segmentation/clustering method alternates steps of dynamic programming with an Expectation-Maximization algorithm. This is an extension of Picard et al (2007) <doi:10.1111/j.1541-0420.2006.00729.x> method (formerly available in 'cghseg' package) to the bivariate case. The full description of the method is not published yet.

Version: 0.1.0
Depends: R (≥ 3.3.0)
Imports: RColorBrewer (≥ 1.1-2), dplyr (≥ 0.5.0), plyr (≥ 1.8.4), reshape2 (≥ 1.4.1), ggplot2 (≥ 2.1.0), magrittr, Rcpp, zoo, grDevices, graphics, stats, utils, scales
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat, dygraphs (≥ 1.1.1-1), xts (≥ 0.9-7), leaflet (≥ 1.0.1), sp (≥ 1.2-3), adehabitatLT, depmixS4, moveHMM (≥ 1.2), htmltools, move, devtools
Published: 2018-02-23
Author: Remi Patin [aut, cre], Marie-Pierre Etienne [aut], Emilie Lebarbier [aut], Simon Benhamou [aut]
Maintainer: Remi Patin <remi.patin at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: segclust2d results


Reference manual: segclust2d.pdf
Vignettes: Segmentation/Clustering with segclust2d
Package source: segclust2d_0.1.0.tar.gz
Windows binaries: r-devel:, r-release: not available, r-oldrel: not available
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available


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