sim2side: Simulate data from camera trap SCR study with partial...

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 where some or all identities are partial. The trap matrix, X, should contain the X and Y locations of traps in columns 1 and 2 and the number of cameras at each site in column 3 (either 1 or 2). 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

sim2side(N = 50, lam01 = 0.1, lam02 = 0.2, sigma = 0.5, K = 10,
  X = X, buff = 3, obstype = "bernoulli", tf = NA)

Arguments

N	a vector indicating the number of individuals to simulate
lam01	the single side detection function hazard rate
lam02	the double side detection function hazard rate
sigma	the spatial scale parameter
K	the number of capture occasions
X	the J x 3 matrix of trap locations and number of cameras at each trap. columns are X, Y, #cams (1 or 2)
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"
tf	an optional J x K matrix of dynamic trap operation indicating when and where 0, 1, or 2 cams were deployed

Value

a list containing the both, left, and right data sets, the both plus left only and both plus right only data sets (stored in y.obs), the activity centers, the 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.