Description Usage Arguments Details Value Author(s)
Calculates the aggregate probability of detecting an MME, assuming a particular detection function and sampling regime.
1 | pDetect(lambda, n, mod='Exp')
|
lambda |
For the exponential detection model, lambda is decay rate in detectability. For the Laplace model, lambda is both the increase rate up to peak detectability, and the decay rate thereafter. |
n |
The total number of regularly spaced observations, starting at t=0 and ending at t=1. |
mod |
The detectability model. |
The growth/decay rate, lambda, must be >0.
The total number of observations, n, must be at least 2, which includes t=0 and t=1. For n > 2, observations will be equally spaced within the "season". For example, n=3 would have observations at t=0, t=1/2 and t=1, while n=4 would feature observations at t=0, t=1/3, t=2/3 and t=1. The spacing between observations is given by 1/(n-1).
Allowable values for mod include 'Exp' for the exponential model, and 'Lpl' for the Laplace model.
The aggregate probability of detecting an MME, given that one has occurred.
Justin M. Calabrese
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