add_data()
Add data to propro
add_variable()
Add additional variable to propro
combine_consecutive_priors()
Combine priors into one definition.
create_propro()
Create Probabilistic Model (propro) using event log and Petri net
get_data()
Get data from propro
list_priors() list_traces()
list_priors()
list_traces()
List priors and traces
log_2_paper_ICPM
Example log
model_2_paper_ICPM
Process model
plot_automaton()
Plot automaton
print_propro()
Print propro
propro
propro - Creating probabilistic process models using Bayesian inference and MCMC
run_propro()
Run propro model
set_prior()
Set prior
set_prior_complements()
Set complements of prior
write_propro()
Write model to file