egttools.numerical.estimators.StationaryDistributionResult

class StationaryDistributionResult(distribution, nb_runs)[source]

Bases: object

Estimated stationary distribution over population states.

Methods

Attributes

distribution

nb_runs

__eq__(other)

Return self==value.

__init__(distribution, nb_runs)
__repr__()[source]

Return repr(self).

Return type:

str

__annotations__ = {'distribution': 'np.ndarray', 'nb_runs': 'int'}
__dataclass_fields__ = {'distribution': Field(name='distribution',type='np.ndarray',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'nb_runs': Field(name='nb_runs',type='int',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD)}
__dataclass_params__ = _DataclassParams(init=True,repr=True,eq=True,order=False,unsafe_hash=False,frozen=False)
__hash__ = None
__match_args__ = ('distribution', 'nb_runs')
distribution: ndarray
nb_runs: int