segclust2d: bivariate segmentation with optional clustering for R

Introduction

segclust2d provides R code for a segmentation method that can be used on all bivariate time-series. The segmentation method can additionally be associated with a clustering algorithm. It was originally intended for ecological segmentation (home-range and behavioural modes) but can be easily applied on other type of time-series. The package also provides tools for analysing outputs from R packages moveHMM and marcher.

Website

Full documentation for segclust2d is available on this website: https://rpatin.github.io/segclust2d/

Three topics are discussed there, and are also available as vignettes in the R package:

Installation

For the version :

install.packages("segclust2d")

If you want the newest , you can install segclust2d from github with:

devtools::install_github("rpatin/segclust2d")