pDetect: Calculate the probability of detecting an MME.

In jmcalabrese/mmeDetect: Calculate the probability of detection of a mass mortality event

Description

Calculates the aggregate probability of detecting an MME, assuming a particular detection function and sampling regime.

Usage

pDetect(lambda, n, mod='Exp')

Arguments

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.

Details

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.

Value

The aggregate probability of detecting an MME, given that one has occurred.

Author(s)

Justin M. Calabrese

jmcalabrese/mmeDetect documentation built on May 21, 2019, 1:44 p.m.