Description Usage Arguments Details Value Examples
View source: R/occ_functions.R
This function simulates data from the single species, single season occupancy model first developed by MacKenzie et al. (2002).
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M |
number of sites |
max_j |
maximum number of visits to each site. If |
beta_psi |
vector of regression coefficients used to generate psi |
beta_p |
vector of regression coefficients used to generate p |
seed |
optional seed for reproducibility |
rand_visits |
logical; should each site be visited a random number of times? See details. |
This function simulates data from the vanilla single season, single
species occupancy model using the logit link function. If rand_visits = TRUE
, each site is visited a random number of times between two and
max_j
. Covariates are drawn from the uniform(0, 1.5) distribution so
that the effect of the direction of each regression coefficient is
intuitive. Note that if covariates are not desired, beta_psi
and
beta_p
can be set to intercepts that generate the desired derived
probabilities.
object of class list
containing the following elements:
beta_psi
vector of regression coefficients used to generate psi
beta_p
vector of regression coefficients used to generate p
psi_cov
matrix of site level covariates
p_cov
array of detection level covariates; each slice represents a
single covariate
psi
vector of derived site level occupancy probabilities
p
matrix of derived visit level detection probabilities
z
vector of latent occupancy states for each site
Y
matrix of observed Bernoulli responses
n_visits
vector of number of visits to each site
data
a data frame containing all information necessary to fit the
model
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