Distance
Distance Sampling Detection Function and Abundance Estimation
A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided. See Miller et al. (2019) doi:10.18637/jss.v089.i01 for more information on methods and https://examples.distancesampling.org/ for example analyses.
- Version2.0.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-GB
- Distance citation info
- Last release10/24/2024
Documentation
Team
Laura Marshall
Jeff Laake
Show author detailsRolesContributorDavid Miller
Show author detailsRolesAuthorT.J. Clark-Wolf
Show author detailsRolesAuthorLen Thomas
Show author detailsRolesContributorEric Rexstad
Show author detailsRolesReviewer
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Last 30 days
This package has been downloaded 1,519 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 86 times.
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Last 365 days
This package has been downloaded 19,353 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Oct 30, 2024 with 201 downloads.
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Dependencies
- Depends1 package
- Imports2 packages
- Suggests9 packages
- Reverse Imports2 packages
- Reverse Suggests1 package