neurom.stats¶

Statistical analysis helper functions

Nothing fancy. Just commonly used functions using scipy functionality.

Functions

`compare_two`	Compares two distributions of data and assess two scores: a distance between them and a probability they are drawn from the same distribution.
`fit`	Calculate the parameters of a fit of a distribution to a data set
`fit_results_to_dict`	Create a JSON-comparible dict from a FitResults object
`get_test`	Returns the correct stat test
`optimal_distribution`	Calculate the parameters of a fit of different distributions to a data set and returns the distribution of the minimal ks-distance.
`scalar_stats`	Calculate the stats from the given numpy functions
`total_score`	Calculates the p-norm of the distances that have been calculated from the statistical test that has been applied on all the paired datasets.

Classes

`FitResults`	Create new instance of FitResults(params, errs, type)
`StatTests`	Enum representing valid statistical tests of scipy