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.
| Version: |
1.0.6 |
| Depends: |
R (≥ 3.0), mrds (≥ 2.2.1) |
| Imports: |
dplyr, methods, rlang |
| Suggests: |
covr, progress, parallel, doParallel, doRNG, foreach, activity, testthat |
| Published: |
2022-08-20 |
| 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: |
https://github.com/DistanceDevelopment/Distance/ |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Citation: |
Distance citation info |
| Materials: |
README NEWS |
| In views: |
Environmetrics |
| CRAN checks: |
Distance results |
Documentation:
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