Fitting Methods

Documentation of fitting methods to be added here.

breads.fit Module

`fitfm`(nonlin_paras, dataobj, fm_func, fm_paras)	Fit a forward model to data returning probabilities and best fit linear parameters.
`log_prob`(nonlin_paras, dataobj, fm_func, ...)	Wrapper to fit_fm() but only returns the log probability marginalized over the linear parameters.
`combined_log_prob`(nonlin_paras, dataobjlist, ...)	For use when you have multiple data objects and want to combine the log-likelihoods for MCMC sampling
`nlog_prob`(nonlin_paras, dataobj, fm_func, ...)	Returns the negative of the log_prob() for minimization routines.

`grid_search`(para_vecs, dataobj, fm_func, ...)	Planet detection, CCF, or grid search routine.
`process_chunk`(args)	Process for grid_search()