neurom.statsΒΆ
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 |
|
StatTests |
Enum representing valid statistical tests of scipy |