dsm: Density Surface Modelling of Distance Sampling Data

Density surface modelling of line transect data. A Generalized Additive Model-based approach is used to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.

Version: 2.2.17
Depends: R (≥ 3.0), mgcv (≥ 1.8-23), mrds (≥ 2.1.16), numDeriv
Imports: nlme, ggplot2, plyr, statmod
Suggests: Distance, sp, tweedie, testthat
Published: 2019-01-19
Author: David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington, Sharon Hedley.
Maintainer: Laura Marshall <lhm at st-andrews.ac.uk>
BugReports: https://github.com/DistanceDevelopment/dsm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/DistanceDevelopment/dsm
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dsm results


Reference manual: dsm.pdf
Package source: dsm_2.2.17.tar.gz
Windows binaries: r-devel: dsm_2.2.17.zip, r-release: dsm_2.2.17.zip, r-oldrel: dsm_2.2.17.zip
OS X binaries: r-release: dsm_2.2.17.tgz, r-oldrel: dsm_2.2.17.tgz
Old sources: dsm archive


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