Randomly guess a starting parameter

Description

Sets starting parameters for each of the given parameters.

Usage

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guess_initial(desc, objdesc, model_type, num_param, expect_diff, N, wv, tau,
  ranged, G)

Arguments

desc

A vector<string> that contains the model's components.

objdesc

A field<vec> that contains an object description (e.g. values) of the model.

model_type

A string that indicates whether it is an SSM or sensor.

num_param

An unsigned int number of parameters in the model (e.g. # of thetas).

expect_diff

A double that contains the mean of the first difference of the data

N

A integer that contains the number of observations in the data.

tau

A vec that contains the scales. (e.g. 2^(1:J))

G

A integer that indicates how many random draws that should be performed.

wv_empir

A vec that contains the empirical wavelet variance.

double

A double that contains the drift slope given by (Max-Min)/N

Value

A vec containing smart parameter starting guesses to be iterated over.

Examples

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#TBA

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