openquake.hme.model_test_frameworks.relm.relm_test_functions

Utility functions for running tests in the RELM model test framework.

Module Attributes

S_TEST_FN

def subdivide_observed_eqs_old(bin_gdf: GeoDataFrame, subcat_n_years: int):

Functions

N_test_empirical(num_obs_events, ...)	N-test using empirical (cumulative Poisson) distribution from sampled MFD counts.
N_test_neg_binom(num_obs_events, ...)	N-test using a negative binomial distribution (for temporally overdispersed earthquake production).
N_test_poisson(num_obs_events, rupture_rate, ...)	N-test using a Poisson distribution.
conf_interval_poisson(rate_mfd[, ...])	Evaluates whether the observed total event count falls within a Poisson confidence interval of the modeled rate.
get_poisson_counts_from_mfd(mfd)	Samples random Poisson counts from each magnitude bin rate.
l_test_function(rup_gdf, eq_gdf, ...[, ...])	Joint likelihood test (L-test).
m_test_function(rup_gdf, eq_gdf, mag_bins, ...)	Magnitude consistency test (M-test).
mfd_log_likelihood(rate_mfd[, ...])	Calculates the log-likelihood of the observations (either binned_events or empirical_mfd) given the modeled rates (rate_mfd).
n_test_function(rup_gdf, eq_gdf, test_config)	N-test: compares the total observed earthquake count to the model prediction.
s_test_cell(rup_gdf, eq_gdf, test_cfg)	Computes the S-test likelihood for a single spatial cell by comparing the observed MFD log-likelihood to stochastic MFD log-likelihoods.
s_test_cells(cell_groups, rup_gdf, ...[, ...])	Runs the S-test likelihood computation for each spatial cell, optionally in parallel.
s_test_function(rup_gdf, eq_gdf, ...[, ...])	Spatial consistency test (S-test).
total_event_likelihood(rate_mfd[, ...])	Calculates the log-likelihood of the observations (either binned_events or empirical_mfd) given the modeled rates (rate_mfd).