Calculate location density — location

Calculates the estimated density of a location, given its observed capture history and auxiliary information.

Usage

location_density(
  fit,
  call_id,
  animal_id = NULL,
  session = 1,
  mask = get_mask(fit)[[session]],
  warn_toa = F,
  newdata = NULL
)

fit: an object generated from the model fitting function fit.acre or the bootstrap process boot.acre.
call_id: an numeric vector indicating which call ID's to calculate density for.
animal_id: an numeric value indicating animal ID. Should only be specified if fit is an animalID model.
session: an integer value indicating the session of detector array and individual(s) to be plotted.
mask: a list or a data frame. Generated by create.mask().
warn_toa: a logical value indicates whether to issue warning in the case of toa data with only a single call.
newdata: data.frame; contains any covariates that will be used for all extended parameters.