egttools.numerical.results.AbsorptionTimeResult

class AbsorptionTimeResult(mean, stderr, nb_runs)[source]

Bases: object

Mean absorption (fixation) time from a given initial state.

Methods

Attributes

ci95

mean

stderr

nb_runs

__eq__(other)

Return self==value.

__init__(mean, stderr, nb_runs)
__repr__()[source]

Return repr(self).

Return type:

str

__annotations__ = {'mean': 'float', 'nb_runs': 'int', 'stderr': 'float'}
__dataclass_fields__ = {'mean': Field(name='mean',type='float',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), 'stderr': Field(name='stderr',type='float',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__ = ('mean', 'stderr', 'nb_runs')
property ci95: Tuple[float, float]
mean: float
nb_runs: int
stderr: float