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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.
Getting started
Browse package contents
Package details |
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| Author | Laura Marshall [cre], David Miller [aut], T.J. Clark-Wolf [aut], Len Thomas [ctb], Jeff Laake [ctb], Eric Rexstad [rev] |
| Maintainer | Laura Marshall <lhm@st-andrews.ac.uk> |
| License | GPL (>= 2) |
| Version | 2.0.0 |
| URL | https://github.com/DistanceDevelopment/Distance/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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