ECDF#

class relife.ECDF[source]#

Empirical Cumulative Distribution Function.

Methods

`cdf`	Cumulative hazard function.
`fit`	Compute the non-parametric estimations with respect to lifetime data.
`sf`	Survival function.

Attributes

`plot`
`estimates`

cdf(time)[source]#

Cumulative hazard function.

Parameters:

timenp.ndarray of shape (n, ): The times at which to estimate the cumulative hazard function.

Returns:

np.ndarray of shape (n, ): The estimated cumulative hazard values at each time.

fit(time, event=None, entry=None, departure=None, inplace=False)[source]#

Compute the non-parametric estimations with respect to lifetime data.

Parameters:

timendarray (1d or 2d): Observed lifetime values.
eventndarray of boolean values (1d), default is None: Boolean indicators tagging lifetime values as right censored or complete.
entryndarray of float (1d), default is None: Left truncations applied to lifetime values.
departurendarray of float (1d), default is None: Right truncations applied to lifetime values.
inplaceboolean, default is True: If true, estimations are stored in the object

sf(time)[source]#

Survival function.

Parameters:

timenp.ndarray of shape (n, ): The times at which to estimate the survival function.

Returns:

np.ndarray of shape (n, ): The estimated survival probabilities at each time.