Description Usage Arguments Details Value Author(s) Examples
A function that returns the probability a randomly chosen animal will not be detected during the survey, given the survey design. Model parameters are provided in a vector. Survey information must be stored in specific-named global variables (see Details).
1  | PrNotDetect(params)
 | 
params | 
 A vector containing six parameter values (see Details).  | 
The input params contains the following values:
[tbar] The day when recruitment peaks.
[sigma] The spread in recruitment (days). Approximately 95% of recruitments occur during days [tbar - 2*sigma, tbar + 2*sigma].
[alpha0] Baseline catch rate (per unit effort).
[alpha1] Age-dependence in catch rate.
[beta0] Base-line mortality rate (per day).
[beta1] Age-dependence in mortality rate.
Recruitment is described by a Guassian peak centred on day tbar with spread characterised by sigma. Per-capita catch rate is given by: alpha0*exp(alpha1*age), where age is the days since recruitment. Per-capita mortality rate is given by: beta0*exp(beta1*age).
Suppose the survey involves the capture of animals over J sampling events. The data must be stored and summarised by the following R-variables:
A double vector of size J quantifying the effort applied during each sampling event.
An integer vector of size J providing the day of each sampling event.
An integer indicating the first possible day of recruitment.
An integer (> T.F) indicating the last possible day of recruitment.
A single value.
Shane A. Richards (shane.richards@csiro.au)
1 2  | guess <- c(3.0, 3.0, 0.2, 0.0, 0.03, 0.1)
PrNotDetect(guess)
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