pypomp.PanelPomp.CLL

PanelPomp.CLL(index: int = -1, average: bool = False) → DataFrame

Get conditional log-likelihoods for the specified history index.

Parameters:

• index (int, optional) – History index. Defaults to -1 (the last result).

• average (bool, optional) – Whether to average conditional log-likelihoods over replicates in likelihood space. Defaults to False.

Returns:

Tidy DataFrame of conditional log-likelihoods. The columns appear in the following order:

1. theta_idx: The index of the parameter set.

2. unit: The unit identifier.

3. rep: The replicate index (only if average=False).

4. time: The observation time point.

5. CLL: The conditional log-likelihood value.

Return type:

pd.DataFrame