idmtools_calibra.utilities.ll_calculators module#

idmtools_calibra.utilities.ll_calculators.dirichlet_multinomial_pandas(df)[source]#
idmtools_calibra.utilities.ll_calculators.gamma_poisson_pandas(df)[source]#
idmtools_calibra.utilities.ll_calculators.beta_binomial_pandas(df)[source]#
idmtools_calibra.utilities.ll_calculators.dirichlet_multinomial(raw_data, sim_data)[source]#
idmtools_calibra.utilities.ll_calculators.dirichlet_single(raw_data, sim_data)[source]#
idmtools_calibra.utilities.ll_calculators.beta_binomial(raw_nobs, sim_nobs, raw_data, sim_data, return_mean=True)[source]#
idmtools_calibra.utilities.ll_calculators.gamma_poisson(raw_nobs, sim_nobs, raw_data, sim_data, return_mean=True)[source]#
idmtools_calibra.utilities.ll_calculators.euclidean_distance(raw_data, sim_data)[source]#
idmtools_calibra.utilities.ll_calculators.euclidean_distance_pandas(df)[source]#
idmtools_calibra.utilities.ll_calculators.weighted_squares(raw_data, sim_data)[source]#