simCount: Simulates count survey data

In IPMbook: Functions and Data for the Book 'Integrated Population Models'

Simulates count survey data

Description

Simulates count survey data assuming a binomial, normal, or Poisson sampling process. For the last two, it is assumed that individuals may be double counted and missed at the same rate.

Usage

simCountBin(N, pDetect)
simCountNorm(N, sigma)
simCountPois(N)

Arguments

N	annual number of individuals at risk of detection, which may be all adults or just those breeding. The length of the vector determines the number of sampling occasions.
pDetect	vector with the annual detection probabilities of the individuals at risk of counting; all individuals have the same probability to be counted; a scalar can be used if probability does not change with time.
sigma	vector with the annual observation error (SD); a scalar can be used if error does not change with time.

Value

A list with the parameters entered and count with the number of individuals counted in each year.

Author(s)

Michael Schaub

References

Schaub, M., Kéry, M. (2022) Integrated Population Models, Academic Press, section 5.5.1.

Examples

# Generate a simulated population:
pop <- simPop()
pop$breeders
# Simulate count data of breeders or of adults
simCountBin(pop$totBreeders, p=0.6)
simCountNorm(pop$totBreeders, sigma=10)
simCountPois(pop$totAdults)

IPMbook documentation built on Aug. 22, 2023, 1:07 a.m.