generate.ds.uncertainty

a fitted detection function object (as
  returned by a call to <code>ddf.ds()</code>.

ds.object

When <code>ds.uncertainty</code> is <code>TRUE</code>, this procedure
  generates data from the fitted detection function
  (assuming that it is correct).

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. For a version that works with DISTANCE, please go
    to https://github.com/lenthomas/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.

generate.ds.uncertainty: Generate data from a fitted detection function

Description

Usage

Arguments