nessai.utils.indices

Utilities related to insertion indices.

Functions

compute_indices_ks_test(indices, nlive[, mode])	Compute the two-sided KS test for discrete insertion indices for a given
bonferroni_correction(p_values[, alpha])	Apply the Bonferroni correction for multiple tests.

Module Contents

nessai.utils.indices.compute_indices_ks_test(indices, nlive, mode='D+')

Compute the two-sided KS test for discrete insertion indices for a given number of live points

Parameters:

indicesarray_like

Indices of newly inserted live points

nliveint

Number of live points

modestr

Method for computing the KS statistic. If D+, the statistic is the maximum positive difference between the empirical and assumed CDF. If D-, the statistic is the maximum negative difference.

Returns:

Dfloat

Two-sided KS statistic

pfloat

p-value

nessai.utils.indices.bonferroni_correction(p_values, alpha=0.05)

Apply the Bonferroni correction for multiple tests.

Based on the implementation in statmodels.stats.multitest

Parameters:

p_valuesarray_like

Uncorrelated p-values.

alphafloat, optional

Family wise error rate.