est_pk0: Fit pk searcher efficiency models

In eoa3: Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection

Fit pk searcher efficiency models

Description

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.

Usage

est_pk0(pkdata, kFixed = NULL, n.iter = 1000, ...)

Arguments

pkdata	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.]
kFixed	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.
n.iter	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)

Details

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.

Value

A list with an nsim x 2 matrix of simulated p and k values the joint posterior for SE.

eoa3 documentation built on April 3, 2025, 6:10 p.m.