fit_polynomial_with_scatter

ell1fit.spin_stats.fit_polynomial_with_scatter(x, y, err, degree=1)

Weighted polynomial fit with an intrinsic scatter s added to err in quadrature.

s is the smallest value that makes chi-squared equal the number of degrees of freedom, or 0 if the data already scatter less than their errors. A degree-0 fit is a weighted mean.

Parameters:

x, y, errarray-like

Abscissae, values and 1-sigma errors. x should be centred near 0 for a well-conditioned fit at higher degree.

degreeint

Returns:

ScatterFit