Simulation of single-season count data for the static correlated-detection N-mixture model
1 2 3 | sim_data_static(nRoutes = 150, nStops = 50, alpha0 = -0.5,
alpha1 = -0.3, alpha2 = 0.2, beta0 = 2, sigma = 1, theta = c(0.3,
0.75), nSum = NULL)
|
nRoutes |
Number of sample units |
nStops |
Number of stops within each sample unit |
alpha0 |
Intercept for detection model |
alpha1 |
Linear effect of stop number on detection probability |
alpha2 |
Quadratic effect of stop number on detection probability |
beta0 |
Log expected number of individuals at each sampling unit |
sigma |
Standard deviation around mean count |
theta |
Vector containing the correlation terms |
nSum |
Optional number of stops to aggregate |
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