Computes the transition matrix under the case of parametric uncertainty
1 2 | parameter_uncertainty_SDP(f, x_grid, h_grid, pardist, sigma_g_index,
n_mc = 100)
|
f |
the growth function of the escapement population (x-h) should be a function of f(t, y, pardist[i,]), with parameters |
x_grid |
the discrete values allowed for the population size, x |
h_grid |
the discrete values of harvest levels to optimize over |
pardist |
a matrix with columns as variables and rows as the Monte Carlo samples from the posterior |
sigma_g_index |
column number containing growth noise |
n_mc |
number of monte carlo replicates to sample |
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