sim2sidetf: 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.

Simulate data from camera trap SCR study with partial identity and simulate a random trap failure process

Description

See the sim2side help file for a description of the capture process. The camera failure process operates like this: cameras fail with probabilty failprob and remain disabled for faildur occasions. If failtype=1, traps at single sites fail together (bear attack?) and if failtype=2, they fail independently. This function was written to investigate the importance of using the 2D trap operation file.

Usage

sim2sidetf(N = 120, lam01 = 0.1, lam02 = 0.2, sigma = 0.5,
  K = 10, X = X, buff = 3, failprob = 0.05, faildur = 2,
  failtype = 2, obstype = "bernoulli")

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 K x 3 matrix of trap locations and number of cameras at each trap. columns are X, Y, #cams
buff	the distance to buffer the trapping array in the X and Y dimensions to produce the state space
failprob	the probability a camera or set of cameras at a site will fail on each occasion
faildur	the number of occasions a camera remains inoperable
failtype	1 if cameras at a site fail together and 2 if they fail independently
obstype	observation type, either "bernoulli" or "poisson"

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 April 28, 2024, 7:27 a.m.