segclust2d

Bivariate Segmentation/Clustering Methods and Tools

CRAN Package

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.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 231 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.

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0 downloadsMar 2, 2025
6 downloadsMar 3, 2025
18 downloadsMar 4, 2025
22 downloadsMar 5, 2025
6 downloadsMar 6, 2025
2 downloadsMar 7, 2025
5 downloadsMar 8, 2025
1 downloadsMar 9, 2025
5 downloadsMar 10, 2025
10 downloadsMar 11, 2025
5 downloadsMar 12, 2025
9 downloadsMar 13, 2025
5 downloadsMar 14, 2025
11 downloadsMar 15, 2025
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2 downloadsMar 19, 2025
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18 downloadsMar 24, 2025
5 downloadsMar 25, 2025
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17 downloadsMar 28, 2025
8 downloadsMar 29, 2025
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3 downloadsMar 31, 2025
8 downloadsApr 1, 2025
0 downloadsApr 2, 2025
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0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,312 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.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports11 packages
  • Suggests14 packages
  • Linking To2 packages