Simulate acre-formatted SCR data.

Usage

sim_data(
  sim_name,
  n.rand,
  fit = NULL,
  seed = 810,
  suppress_messages = FALSE,
  proportion_missing = 0
)

sim_name: a string denoting type of data to be simulated. Supported types can be found using the get_dataset_names() function.
n.rand: a numeric value denoting the number of data sets to be generated. If n.rand > 1, output$capt will be a list of length n.rand.
fit: an object generated from the model fitting function "fit.acre()" or the bootstrap process "boot.acre()". If fit is provided, then all parameters will be taken from the fitted object.
seed: a numeric value denoting the random seed, defaults to 810.
suppress_messages: a logical value which indicates whether to suppress helper messages.
proportion_missing: a numeric value used to set a proportion of the covariate data generated to NA (currently only bearing, distance and toa supported)

A data frame containing the simulated data, as well as arguments used.