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: |
0.3.3 |
Depends: |
R (≥ 3.3.0) |
Imports: |
RColorBrewer (≥ 1.1-2), dplyr (≥ 1.0.0), plyr (≥ 1.8.4), reshape2 (≥ 1.4.1), ggplot2 (≥ 2.1.0), magrittr, Rcpp, zoo, grDevices, graphics, stats, utils, scales, rlang, methods, cli |
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, spelling |
Published: |
2024-04-24 |
DOI: |
10.32614/CRAN.package.segclust2d |
Author: |
Remi Patin [aut, cre],
Marie-Pierre Etienne [aut],
Emilie Lebarbier [aut],
Simon Benhamou [aut] |
Maintainer: |
Remi Patin <remi.patin at normale.fr> |
BugReports: |
https://github.com/rpatin/segclust2d/issues |
License: |
GPL-3 |
URL: |
https://github.com/rpatin/segclust2d |
NeedsCompilation: |
yes |
Language: |
en-US |
Citation: |
segclust2d citation info |
Materials: |
README, NEWS |
In views: |
Tracking |
CRAN checks: |
segclust2d results |