mrpy.fitting.fit_sample¶
Routines that implement fits directly to samples of masses (or other values drawn from a TGGD).
For fits to binned data, see :module:`mrpy.fit_curve`. For the
definition of the likelihood involved in the fits within this module see
mrpy.likelihoods.PerObjLike.
This module also provides pre-defined prior functions, specifically, the normal_prior.
Functions
normal_prior(p, mean, sd) |
A normal prior on each parameter. |
Classes
SimFit(m[, nm, mmin, V, hs_bounds, …]) |
Per-object fits. |