Sets starting parameters for each of the given parameters.
guess_initial(desc, objdesc, model_type, num_param, expect_diff, N, wv,
tau, ranged, G)
A vector<string>
that contains the model's components.
A field<vec>
that contains an object description (e.g. values) of the model.
A string
that indicates whether it is an SSM or sensor.
An unsigned int
number of parameters in the model (e.g. # of thetas).
A double
that contains the mean of the first difference of the data
A integer
that contains the number of observations in the data.
A vec
that contains the scales. (e.g. 2^(1:J))
A integer
that indicates how many random draws that should be performed.
A vec
that contains the empirical wavelet variance.
A double
that contains the drift slope given by \(\frac{max-min}{N}\)
A vec
containing smart parameter starting guesses to be iterated over.