pypomp.core.results.PanelPompMIFResult¶
- class pypomp.core.results.PanelPompMIFResult(method: str, execution_time: float | None, key: Array, timestamp: Timestamp = <factory>, theta: PanelParameters | None = None, shared_traces: DataArray = <factory>, unit_traces: DataArray = <factory>, logLiks: 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, block: bool = True)[source]¶
Bases:
PanelPompBaseResultResult from PanelPomp.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 PanelPompMIFResult objects into a single object.
print_summary()Print summary of panel mif result.
to_dataframe([ignore_nan])Convert panel mif result to DataFrame.
traces()Return panel mif results formatted as traces (long format).
Attributes
JMablockn_monitorsrw_sdthetathreshshared_tracesunit_traceslogLiksmethodexecution_timekeytimestamp