EMbC
Expectation-Maximization Binary Clustering
Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").
- Version2.0.4
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- <doi:10.1371/journal.pone.0151984>
- Last release10/03/2023
Documentation
Team
Joan Garriga
John R.B. Palmer
Aitana Oltra
Frederic Bartumeus
Insights
Last 30 days
This package has been downloaded 270 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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 4,208 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 Jul 21, 2024 with 73 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
Binaries
Dependencies
- Imports5 packages
- Suggests4 packages
- Linking To2 packages
- Reverse Suggests1 package