segclust2d

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.

Last 30 days

This package has been downloaded 212 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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Last 365 days

This package has been downloaded 3,292 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 26, 2024 with 47 downloads.

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