TPD
Methods for Measuring Functional Diversity Based on Trait Probability Density
Tools to calculate trait probability density functions (TPD) at any scale (e.g. populations, species, communities). TPD functions are used to compute several indices of functional diversity, as well as its partition across scales. These indices constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions into uni- or multidimensional functional trait-based studies. See Carmona et al. (2016) doi:10.1016/j.tree.2016.02.003 for further information.
- Version1.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/02/2019
Documentation
Team
Carlos P. Carmona
Insights
Last 30 days
This package has been downloaded 238 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 7 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 3,101 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 21, 2025 with 29 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.
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Dependencies
- Depends2 packages
- Imports2 packages
- Suggests3 packages
- Reverse Suggests1 package