mrpy.fitting.fit_curve¶
Routines that implement simple least-squares fits directly to dn/dm without errors. Typically used for fitting directly to theoretical functions from EPS theory.
For more involved fits to non-binned data, see :module:`mrpy.fit_perobj`. For the
definition of the likelihood involved in the fits within this module see
mrpy.likelihoods.CurveLike
.
Functions
get_fit_curve (data_m, data_mf, x0[, bounds, …]) |
Perform basic LSQ fitting of the MRP curve to the given curve. |
get_fit_expected (data_m, data_mf, x0[, …]) |
Generate the expected MLE of MRP parameters, given a mass function from which the samples should be drawn. |