check_simulator: Check if simulator with fixed quantiles is well implemented

In flimo: Fixed Landscape Inference Method

Check if simulator with fixed quantiles is well implemented

Description

Run simulations to catch random variations. Warning : does not check it formally. Warning : does not check if quantiles are used several times.

Usage

check_simulator(
  simulatorQ,
  ndraw,
  Theta_lower = 0,
  Theta_upper = 1,
  ntheta = 5,
  nruns = 3
)

Arguments

simulatorQ	Function of type simulatorQ(Theta, quantiles) where Theta is the parameter set for the simulations and quantiles are drawn in U(0,1).
ndraw	Integer. Number of random variables to draw for one simulation of the model.
Theta_lower	1D numeric array. Lower bounds of Theta parameters.
Theta_upper	1D numeric array. Upper bounds of Theta parameters.
ntheta	Integer. Number of Theta parameters to test.
nruns	Integer. For each Theta, number of simulations to run.

Value

Boolean. True if no random effect was detected, False else.

Examples

simulatorQ <- function(Theta, quantiles){
qpois(quantiles, lambda = Theta)
}
check_simulator(simulatorQ, 5,
Theta_lower = 50, Theta_upper = 150)

flimo documentation built on May 31, 2023, 6:04 p.m.