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.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.0), mrds (≥ 2.2.1) |
| Imports: | dplyr, rlang |
| Suggests: | testthat, covr |
| Published: | 2020-07-31 |
| Author: | David Lawrence Miller |
| Maintainer: | Laura Marshall <lhm at st-andrews.ac.uk> |
| BugReports: | https://github.com/DistanceDevelopment/Distance/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://github.com/DistanceDevelopment/Distance/ |
| NeedsCompilation: | no |
| Language: | en-GB |
| Citation: | Distance citation info |
| Materials: | README NEWS |
| In views: | Environmetrics |
| CRAN checks: | Distance results |
| Reference manual: | Distance.pdf |
| Package source: | Distance_1.0.1.tar.gz |
| Windows binaries: | r-devel: Distance_1.0.1.zip, r-release: Distance_1.0.1.zip, r-oldrel: Distance_1.0.1.zip |
| macOS binaries: | r-release: Distance_1.0.1.tgz, r-oldrel: Distance_1.0.1.tgz |
| Old sources: | Distance archive |
| Reverse suggests: | dsm |
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