sccoda.model.other_models.SimpleModel.get_y_hat

SimpleModel.get_y_hat(states_burnin, num_results, num_burnin)

Calculate posterior mode of cell counts (for analysis purposes) and add intermediate parameters that are no priors to MCMC results.

Parameters

states_burnin : List[any]List[any]

MCMC chain without burn-in samples

num_results : intint

Chain length (with burn-in)

num_burnin : intint

Number of burn-in samples

Return type

ndarrayndarray

Returns

• posterior mode

• y_mean – posterior mode of cell counts