satlas.stats.fitting.likelihood_lnprob

satlas.stats.fitting.likelihood_lnprob(params, f, x, y, xerr, func)

Calculates the logarithm of the probability that the data fits the model given the current parameters.

Parameters:

• params (lmfit.Parameters object with satlas.PriorParameters) – Group of parameters for which the fit has to be evaluated.
• f (BaseModel) – Model object containing all the information about the fit; will be fitted to the given data.
• x (array_like) – Experimental data for the x-axis.
• y (array_like) – Experimental data for the y-axis.
• xerr (array_like) – Uncertainty values on x.
• func (function) – Function calculating the loglikelihood of y_data being drawn from a distribution characterized by y_model.

Note

The prior is first evaluated for the parameters. If this is not finite, the values are rejected from consideration by immediately returning -np.inf.