simSCR: Simulate data from a SCR study

In benaug/SPIM: This package contains MCMC algorithms in R and (some) Rcpp for various Spatial Partial Identity Models. Prospective users should email Ben before using.

Description

This function simulates data from a camera trap SCR study. The extent of the state space is controlled by "buff", which buffers the minimum and maximum X and Y extents. Therefore, it probably only makes sense for square or rectangular grids. Functionality for user-provided polygonal state spaces will be added in the future.

Usage

simSCR(N = 120, lam0 = 0.2, sigma = 0.5, K = 10, X = X,
  buff = 3, obstype = "bernoulli")

Arguments

N	a vector indicating the number of individuals to simulate
lam0	the detection function hazard rate
sigma	the spatial scale parameter
K	the number of capture occasions
X	the K x 2 matrix of trap locations
buff	the distance to buffer the trapping array in the X and Y dimensions to produce the state space
obstype	observation type, either "bernoulli" or "poisson"

Value

a list containing the capture history, activity centers, trap object, and several other data objects and summaries.

Author(s)

Ben Augustine

benaug/SPIM documentation built on Jan. 23, 2022, 4:29 a.m.