Simulation of multi-season count data for the dynamic correlated-detection N-mixture model
1 2 3 | sim_data_dyn(nRoutes = 150, nStops = 50, nYears = 10, alpha0 = -0.5,
alpha1 = -0.3, alpha2 = 0.2, beta0 = 2, sigma1 = 1, gamma = 0.35,
omega = 0.6, sigma2 = 0.1, theta = c(0.3, 0.75), nSum = NULL)
|
nRoutes |
Number of sample units |
nStops |
Number of stops within each sample unit |
nYears |
Number of years |
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 in year 1 |
sigma1 |
Standard deviation around mean count in year 1 |
gamma |
Recruitment rate |
omega |
Survival rate |
sigma2 |
Standard deviation of random immigration from other sies |
theta |
Vector containing the correlation terms |
nSum |
Optional number of stops to aggregate |
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