accumulate.results

index of the current bootstrap iteration

list of 4-dimensional arrays containing the 
bootstrap results

bootstrap.results

list of data objects similar to the dht class

formatted.results

boolean are the observations clusters of individuals
bootstrap results

clusters

Enters the prorated results into the bootstrap.results array

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.

accumulate.results: Enters the prorated results into the bootstrap.results array

Description

Usage

Arguments

Value