Description Usage Arguments Value Examples
Compute the Bayesian Information Criterion. Assuming additive Gaussian measurement noise of width 1, the term -2ln(L(theta|y)) ~ SSR ~ Chi^2
1 | compute_bic(chi2 = 0, params = 1, data_points = 1)
|
chi2 |
the Chi^2 for the model |
params |
the number of model parameters |
data_points |
the number of data points |
the BIC
1 | compute_bic(chi2=10, params=5, data_points=100)
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