pypomp.core.results.PanelPompPFilterResult¶
- class pypomp.core.results.PanelPompPFilterResult(method: str, execution_time: float | None, key: Array, timestamp: Timestamp = <factory>, theta: PanelParameters | None = None, logLiks: DataArray = <factory>, J: int = 0, reps: int = 1, thresh: float = 0.0, CLL_da: DataArray | None = None, ESS_da: DataArray | None = None, filter_mean: DataArray | None = None, prediction_mean: DataArray | None = None)[source]¶
Bases:
PanelPompBaseResultResult from PanelPomp.pfilter() method.
Methods
CLL([average])Return conditional log-likelihoods as a DataFrame.
ESS([average])Return Effective Sample Size as a DataFrame.
__init__(method, execution_time, key, ...)merge(*results)Merge replications from multiple PanelPompPFilterResult objects into a single object.
print_summary()Print summary of panel pfilter result.
to_dataframe([ignore_nan])Convert panel pfilter result to DataFrame.
traces()Return pfilter results formatted as traces (long format).
Attributes
CLL_daESS_daJfilter_meanprediction_meanrepsthetathreshlogLiksmethodexecution_timekeytimestamp