The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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

Documentation:

Reference manual: segclust2d.pdf
Vignettes: 1 - Preparing data for Segmentation/Clustering with segclust2d
2 - Running Segmentation/Clustering with segclust2d
3 - Exploring Outputs from segclust2d

Downloads:

Package source: segclust2d_0.3.3.tar.gz
Windows binaries: r-devel: segclust2d_0.3.3.zip, r-release: segclust2d_0.3.3.zip, r-oldrel: segclust2d_0.3.3.zip
macOS binaries: r-release (arm64): segclust2d_0.3.3.tgz, r-oldrel (arm64): segclust2d_0.3.3.tgz, r-release (x86_64): segclust2d_0.3.3.tgz, r-oldrel (x86_64): segclust2d_0.3.3.tgz
Old sources: segclust2d archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=segclust2d to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.