mads-package

mads

<p>Can perform distance sampling analyses on a number of species at once
  and can account for unidentified sightings. Unidentified sightings 
  refer to sightings which cannot be allocated to a single species but 
  may instead be allocated to a group of species. The abundance of each
  unidentified group is estimated and then prorated to the species
  estimates. The multi-analysis engine can also incorporate model and
  covariate uncertainty. Variance estimation is via a non parametric
  bootstrap. The methods implemented are described in Gerodette T. and 
  Forcada J. (2005) &lt;10.3354/meps291001&gt; "Non-recovery of two spotted 
  and spinner dolphin populations in the eastern tropical Pacific Ocean".</p>

package

Performs distance sampling analyses on a number of species
at once and can account for unidentified sightings, model uncertainty
and covariate uncertainty. Unidentified sightings refer to sightings
which cannot be allocated to a single species but may instead be
allocated to a group of species. The abundance of each unidentified
group is estimated and then prorated to the species estimates. Model
uncertainty should be incorporated when multiple models give equally
good fit to the data but lead to large differences in estimated
density / abundance. Covariate uncertainty should be incorporated
when covariates cannot be measured accurately, for example this is
often the case for group size in marine mammal surveys. Variance
estimation for these methods is via a non parametric bootstrap.
The methods implemented are described in Gerodette T. and Forcada
J. (2005) <doi:10.3354/meps291001> Non-recovery of two spotted and
spinner dolphin populations in the eastern tropical Pacific Ocean.

mads-package: Multi-Analysis Distance Sampling (mads)

Description

Arguments

Details