crawl

Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data

CRAN Package

Fit continuous-time correlated random walk models with time indexed covariates to animal telemetry data. The model is fit using the Kalman-filter on a state space version of the continuous-time stochastic movement process.


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Insights

Last 30 days

This package has been downloaded 875 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 21 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
50 downloadsMar 4, 2025
49 downloadsMar 5, 2025
25 downloadsMar 6, 2025
73 downloadsMar 7, 2025
9 downloadsMar 8, 2025
8 downloadsMar 9, 2025
26 downloadsMar 10, 2025
38 downloadsMar 11, 2025
16 downloadsMar 12, 2025
11 downloadsMar 13, 2025
14 downloadsMar 14, 2025
59 downloadsMar 15, 2025
7 downloadsMar 16, 2025
17 downloadsMar 17, 2025
48 downloadsMar 18, 2025
37 downloadsMar 19, 2025
27 downloadsMar 20, 2025
17 downloadsMar 21, 2025
36 downloadsMar 22, 2025
21 downloadsMar 23, 2025
27 downloadsMar 24, 2025
23 downloadsMar 25, 2025
67 downloadsMar 26, 2025
17 downloadsMar 27, 2025
59 downloadsMar 28, 2025
9 downloadsMar 29, 2025
8 downloadsMar 30, 2025
24 downloadsMar 31, 2025
32 downloadsApr 1, 2025
21 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
7
73

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 8,554 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Feb 20, 2025 with 84 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

  • Imports10 packages
  • Linking To2 packages
  • Reverse Imports2 packages
  • Reverse Suggests1 package