relife.data.LifetimeData¶

class relife.data.LifetimeData(time: numpy.ndarray, event: Optional[numpy.ndarray] = None, entry: Optional[numpy.ndarray] = None, args: Tuple[numpy.ndarray] = ())[source]¶

Bases: object

Lifetime data.

Dataclass of lifetime data required by the maximum likelihood estimation.

Methods

astuple

Converts the dataclass attributes as a tuple.

Attributes

`args`	Extra arguments required by the lifetime model.
`entry`	Age of assets at the beginning of the observation period (left truncation), by default None.
`event`	Type of event, by default None.
`time`	Age of the assets.

time: numpy.ndarray¶: Age of the assets.

event: numpy.ndarray = None¶: Type of event, by default None.

entry: numpy.ndarray = None¶: Age of assets at the beginning of the observation period (left truncation), by default None.

args: Tuple[numpy.ndarray] = ()¶: Extra arguments required by the lifetime model.

class DataByEvent(D: numpy.ndarray, D_RC: numpy.ndarray, LC: numpy.ndarray, LT: numpy.ndarray)[source]¶

Bases: tuple

Group data by type of event.

Create new instance of DataByEvent(D, D_RC, LC, LT)

D: numpy.ndarray¶: observed event.

D_RC: numpy.ndarray¶: union of observed events and right-censored data.

LC: numpy.ndarray¶: left-censored data.

LT: numpy.ndarray¶: left-truncated data.

__add__(value, /)¶: Return self+value.

__mul__(value, /)¶: Return self*value.

count(value, /)¶: Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)¶

Return first index of value.

Raises ValueError if the value is not present.

astuple() → Tuple[numpy.ndarray, ...][source]¶

Converts the dataclass attributes as a tuple.

Returns: The attributes of the class as the tuple (time, event, entry, *args).
Return type: Tuple[ndarray]

ReLife 1.0.0 documentation

relife.data.LifetimeData

relife.data.LifetimeData¶