pypomp.core.results.PompMIFResult¶
- class pypomp.core.results.PompMIFResult(method: str, execution_time: float | None, key: Array, timestamp: Timestamp = <factory>, theta: list[dict] = <factory>, traces_da: DataArray = <factory>, J: int = 0, M: int = 0, rw_sd: RWSigma | None = None, a: float = 0.0, thresh: float = 0.0, n_monitors: int = 0)[source]¶
Bases:
PompBaseResultResult from Pomp.mif() 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 PompMIFResult objects into a single object.
print_summary()Print summary of mif result.
to_dataframe([ignore_nan])Convert mif result to DataFrame.
traces()Return traces DataFrame for this mif result.
Attributes
JMan_monitorsrw_sdthreshtraces_dathetamethodexecution_timekeytimestamp