Package index
-
IntInjectionIntensity()Inv_IntInjectionIntensity() - Injection Rate function calculations
-
Int_ETAS_time_trig_function() - Integrated Omori's law
-
Inv_Int_ETAS_time_trig_function() - Inverse of integrated Omori's law
-
It_df() - Function to calculate the integral of Omori's law
-
Temporal.ETAS() - Function to fit Hawkes process model
-
Temporal.ETAS.fit() - Fit temporal ETAS model
-
Temporal.ETAS.forecast() - Title
-
breaks_exp() - Find breaks point for 1D grid
-
compute_grid() - Integral of Omori's law
-
cond_lambda() - ETAS conditional intensity - used by
inlabru -
create_input_list_temporal_noCatalogue() - Create input list for ETAS Hawkes temporal model without catalogue
-
create_input_list_temporal_withCatalogue() - Create input list for ETAS Hawkes temporal model with catalogue
-
exp_t() - Copula transformation from a standard Normal distribution to an Exponential distribution
-
gamma_t() - Copula transformation from a standard Normal distribution to a Gamma distribution
-
generate_temporal_ETAS_synthetic() - Generates a synthetic catalogue using the ETAS model
-
get_posterior_N() - Plot the posterior distribution of the expected number of events
-
get_posterior_param() - Retrieve posterior distribution of ETAS parameters
-
gt() - ETAS triggering function - used by
inlabru -
horus - HORUS Ita Catalogue
-
inv_exp_t() - Copula transformation from an Exponential to a standard Normal distribution
-
inv_gamma_t() - Copula transformation from an Gamma to a standard Normal distribution
-
inv_loggaus_t() - Copula transformation from an Log-Normal to a standard Normal distribution
-
inv_unif_t() - Copula transformation from an Uniform to a standard Normal distribution
-
lambda_N() - Calculate the integral of the ETAS conditional intensity
-
log_Lambda_h() - Logarithm of the integral of the ETAS triggering function
-
loggaus_t() - Copula transformation from a standard Normal distribution to a Log-Normal distribution
-
omori() - Function to calculate Omori's law
-
omori_plot_posterior() - Function to plot Omori's law corresponding to different posterior samples
-
omori_plot_prior() - Plot Omori's law for prior samples
-
post_pairs_plot() - Plot the posterior densities of the ETAS parameters
-
post_sampling() - Sample from the posterior of the ETAS parameters
-
sample_GR_magnitudes() - Return a sample of magnitudes drawn from the GR distribution
-
sample_temporal_ETAS_daughters() - Sample daughter events from one parent using the ETAS model
-
sample_temporal_ETAS_generation() - Take all previous parent events from
Ht=data.frame[ts, magnitudes]and generates their daughters events using the ETAS model -
sample_temporal_ETAS_times() - Sample times for events triggered by a parent according to the ETAS triggering function
-
sample_temporal_injection_events() - Title
-
time_grid() - Generate a set of time bins for a specific event.
-
triggering_fun_plot() - Triggering function plot from posterior samples
-
triggering_fun_plot_prior() - Triggering function plot from prior samples
-
unif_t() - Copula transformation from a standard Normal distribution to a Uniform distribution