Searcher efficiency is modeled as a function of the number of times a carcass has been missed in previous searches and any number of covariates.
est_pk0(pkdata, kFixed = NULL, n.iter = 1000, ...)
A list with an nsim x 2 matrix of simulated p
and k
values the joint posterior for SE.
Search trial data entered in a list of N-vectors, $n and $y,
indicating the number of carcasses available and the number discovered in
searcher efficiency field trials in which carcasses were available for
discovery. [NOTE: In earlier versions of eoa
, the vectors were $M and
$X. The names have been changed to avoid confusion with the M
and
X
for total mortality and carcasses discovered carcass survey.]
If trial carcassses are available for discovery for one search
and data are insufficient for estimating k
, a fixed, assumed value must
be entered for k
.
number of iterations to use in updating the JAGS model for \(p\) and \(k\)
Other parameters that may be used in called functions (esp.
burn
for updating the JAGS function)
The probability of finding a carcass that is present at the time of
search is p
on the first search after carcass arrival and is
assumed to decrease by a factor of k
each time the carcass is
missed in searches.