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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:2.3.4
Depends:R (≥ 3.5.0),mgcv (≥ 1.8-23),mrds (≥ 2.1.16),numDeriv
Imports:nlme,ggplot2,plyr,statmod
Suggests:Distance,sp,tweedie,testthat
Published:2025-09-02
DOI:10.32614/CRAN.package.dsm
Author:Laura Marshall [cre], David L. Miller [aut], Eric Rexstad [ctb], Louise Burt [ctb], Mark V. Bravington [ctb], Sharon Hedley [ctb], Megan Ferguson [ctb], Natalie Kelly [ctb]
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:https://github.com/DistanceDevelopment/dsm
NeedsCompilation:no
Language:en-GB
Materials:README,NEWS
In views:Environmetrics
CRAN checks:dsm results

Documentation:

Reference manual:dsm.html ,dsm.pdf

Downloads:

Package source: dsm_2.3.4.tar.gz
Windows binaries: r-devel:dsm_2.3.4.zip, r-release:dsm_2.3.4.zip, r-oldrel:dsm_2.3.4.zip
macOS binaries: r-release (arm64):dsm_2.3.4.tgz, r-oldrel (arm64):dsm_2.3.4.tgz, r-release (x86_64):dsm_2.3.4.tgz, r-oldrel (x86_64):dsm_2.3.4.tgz
Old sources: dsm archive

Linking:

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