active_adaptive_simulate: Forward simulate given the optimal havesting policy, D

In cboettig/pdg_control: Pretty Darn Good Control

Description

Forward simulate given the optimal havesting policy, D

Usage

active_adaptive_simulate(f, pars, x_grid, h_grid, p_grid, x0, p0, D, z_g,
  update_belief)

Arguments

f	the true growth function of the escapement population (x-h) should be a function of f(y, p), with parameters p
pars	the parameters of the growth function
x_grid	the discrete values allowed for the population size, x
h_grid	the discrete values of harvest levels to optimize over
p_grid	the discrete values of belief allowed
x0	initial stock size
p0	initial belief
D	the optimal solution indices on h_grid, given for each possible state at each timestep
z_g	a function which returns a random multiple for population growth for the implementation uncertainty in quotas
update_belief	a function of x[t], p[t], x[t+1]

Value

a data frame with the time, fishstock, harvested amount, and what the escapement ("unharvested").

cboettig/pdg_control documentation built on May 13, 2019, 2:10 p.m.