dsm: Density surface modelling of distance sampling data

This library implements density surface modelling of line transect data, based on the methods of Hedley et al. (2004). Some recent developments in the literature have also be incorporated. Outputs are point and interval estimates of population abundance and density. Please note that this version of dsm WILL NOT work with the Windows package DISTANCE earlier than version 6.2. For a version that works with DISTANCE 6.1, please go to: https://github.com/DistanceDevelopment/dsm-distance-6.1 For the latest version of dsm, please use the github version at the URL listed below. Miller, D. L., M. L. Burt, E. Rexstad and L. Thomas. 2013. Spatial models for distance sampling data: recent developments and future directions. Methods in Ecology and Evolution Hedley, S.L., S.T. Buckland and D.L. Borchers. 2004. "Spatial distance sampling methods" pp 48-70 in Advanced Distance Sampling, Buckland, S.T. et al. (eds). Oxford University Press.

Version: 2.2.3
Depends: R (≥ 3.0), mgcv (≥ 1.7), mrds
Imports: nlme, ggplot2, statmod
Suggests: Distance
Published: 2014-04-23
Author: David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington, Sharon Hedley.
Maintainer: David Lawrence Miller <dave at ninepointeightone.net>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/DistanceDevelopment/dsm
NeedsCompilation: no
Materials: README NEWS
In views: Environmetrics
CRAN checks: dsm results

Downloads:

Reference manual: dsm.pdf
Package source: dsm_2.2.3.tar.gz
OS X binary: dsm_2.2.3.tgz
Windows binary: dsm_2.2.3.zip
Old sources: dsm archive