iterate: Iterate Simulations

In chrisroberts2112/msProject: Functions for evaluating Rivest Estimator

Iterate Simulations

Description

This function iterates caribou simulations and returns rejection rate of each hypothesis test

Usage

iterate(
  iters,
  Theta,
  nu,
  phi,
  r,
  modelSim = c("H", "I", "T"),
  modelEst = c(modelSim, "H", "I", "T"),
  BSim,
  BEst = BSim
)

Arguments

iters	An integer giving the total number of iterations
Theta	The total herd size to be simulated. An approximation, not a limiting number
nu	An integer, the total number of collars to be simulated in a caribou herd. An approximation, not a limiting number.
phi	A numeric that parameterizes the degree of clustering. phi = 0 indicates no clustering. 0 < phi < 1
r	A parameter related to the probability of detection
modelSim	A character string indicating the (phase II) model used to simulate the probability that a group with collared animals is detected pi. It can be either "H" = homogeneity model, "I" = independence model or "T" = threshold model. The default is "H".
modelEst	Indicates the phase II probability model used to compute the population estimate, T.hat. The default is to use the same model as used to generate the simulation.
BSim	The threshold parameter used in phase II probability detection
BEst	the threshold parameter used in population estimation

chrisroberts2112/msProject documentation built on April 21, 2022, 1:59 a.m.