Description Usage Arguments Details Value References See Also
Estimates the negative log likelihood of the statistical model of Mignan et al. (2017) for a specific set of input parameters, for three possible time windows (full sequence, injection phase or post-injection phase).
1 | negloglik_point.val(data, par, window = "full sequence")
|
data |
a list containing all the necessary point data:
|
par |
a vector of the input parameters |
window |
the window to be used: " |
See Eq. A2 of Broccardo et al. (2017) for 'full sequence' and Eq. A3 for 'injection'.
Note that the function is here structured for the parameters to be optimized by optim()``, which is done automatically in model_par.mle_point(). The parvector depends on the selectedwindow, which is dealt with in model_par.mle_point()' (see Details section there).
the negative log likelihood estimate for the specified par values
Broccardo M., Mignan A., Wiemer S., Stojadinovic B., Giardini D. (2017), Hierarchical Bayesian Modeling of FluidāInduced Seismicity. Geophysical Research Letters, 44 (22), 11,357-11,367, doi: 10.1002/2017GL075251
Mignan A., Broccardo M., Wiemer S., Giardini D. (2017), Induced seismicity closed-form traffic light system for actuarial decision-making during deep fluid injections. Sci. Rep., 7, 13607, doi: 10.1038/s41598-017-13585-9
model_par.mle_point, model_par.mle_hist, negloglik_hist.val, loglik_point.array
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