cymr.cmr.CMR.fit_indiv#

CMR.fit_indiv(data, param_def, patterns=None, n_jobs=None, method='de', n_rep=1, **kwargs)#

Fit parameters to individual subjects.

Parameters:
  • data (pandas.DataFrame) – Data for one or more subjects.

  • param_def (cymr.parameters.Parameters) – Parameter definitions.

  • patterns (dict of (str: dict of (str: numpy.array)), optional) – Patterns to use in the model.

  • n_jobs (int, optional) – Number of processes to use for fitting subjects in parallel.

  • method (str, optional) – Search method for fitting the parameters.

  • n_rep (int, optional) – Number of times to repeat each search.

  • kwargs – Additional keyword arguments for the search method.

Returns:

results – Best-fitting parameters, log likelihood (logl), number of data points (n), and number of free parameters (k) for each subject.

Return type:

pandas.DataFrame