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 method is fully described in Patin et al (2018) <doi:10.1101/444794>.
| Version: | 0.2.0 |
| 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: | 2019-02-27 |
| Author: | Remi Patin [aut, cre], Marie-Pierre Etienne [aut], Emilie Lebarbier [aut], Simon Benhamou [aut] |
| Maintainer: | Remi Patin <remi.patin at normale.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Tracking |
| CRAN checks: | segclust2d results |
| Reference manual: | segclust2d.pdf |
| Vignettes: |
Segmentation/Clustering with segclust2d |
| Package source: | segclust2d_0.2.0.tar.gz |
| Windows binaries: | r-devel: segclust2d_0.2.0.zip, r-release: segclust2d_0.2.0.zip, r-oldrel: segclust2d_0.2.0.zip |
| macOS binaries: | r-release: segclust2d_0.2.0.tgz, r-oldrel: segclust2d_0.2.0.tgz |
| Old sources: | segclust2d archive |
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