CrossInverts
Documentation for CrossInverts.
Problem
When calibrating models across different groups, some parameters should be kept constant across sites (fixed parameters), some are allowed to vary around a common mean across sites (random parameters), and others may be allowed to vary freely across groups (individual parameters).
Specifying priors and and dealing with groups and individuals require some common support. Further, keeping the overview across different scenarios can be tedious.
CrossInverts.AbstractCrossInversionCase
CrossInverts.df_from_paramsModeUpperRows
CrossInverts.extract_group
CrossInverts.gen_model_cross
CrossInverts.gen_sim_sols_probs
CrossInverts.get_case_indiv_ids
CrossInverts.get_case_indivdata
CrossInverts.get_case_inverted_system
CrossInverts.get_case_mixed_keys
CrossInverts.get_case_obs_uncertainty_dist_type
CrossInverts.get_case_priors_dict
CrossInverts.get_case_priors_random_dict
CrossInverts.get_case_problemupdater
CrossInverts.setup_inversion