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