API Reference

bs_1sample(x: numpy.ndarray, func: Callable[[numpy.ndarray], Any], size: int = 5000) → int[source]

One sample bootsrap replicates.

Parameters

  • x (arraylike) – The sample from which replicates will be drawn

  • func (callable[[np.ndarray], float]) – The function that returns the statistic to be calculated on x.

  • size (int) – The number of bootstrap replicates to generate

Returns

A numpy array of bootstrap replicates

bs_2sample(x: numpy.ndarray, y: numpy.ndarray, func: Callable[[numpy.ndarray, numpy.ndarray], Any], size: int = 5000) → numpy.ndarray[source]

Two sample bootsrap replicates.

Parameters

  • x (arraylike) – The first sample from which replicates will be drawn

  • y (arraylike) – The second sample from which replicates will be drawn

  • func (callable[[np.ndarray, np.ndarray], float]) – The function that returns the statistic to be calculated on x and y.

  • size (int) – The number of bootstrap replicates to generate

Returns

A numpy array of bootstrap replicates

bs_pairs(x: numpy.ndarray, y: numpy.ndarray, func: Callable[[numpy.ndarray, numpy.ndarray], Any], size: int = 5000) → numpy.ndarray[source]

Generate bootstrap replicates from pairs of x and y.

Parameters

  • x (arraylike) – The first variable from which replicates will be drawn

  • y (arraylike) – The second variable from which replicates will be drawn

  • func (callable[[np.ndarray, np.ndarray], float]) – The function that returns the statistic to be calculated on x and y.

  • size (int) – The number of bootstrap replicates to generate

Returns

A numpy array of bootstrap replicates

permutation_2sample(x: numpy.ndarray, y: numpy.ndarray, func: Callable[[numpy.ndarray, numpy.ndarray], Any], size: int = 5000) → numpy.ndarray[source]

Generate permutation replicates from two samples.

Parameters

  • x (arraylike) – The first sample from which replicates will be drawn

  • y (arraylike) – The second sample from which replicates will be drawn

  • func (callable[[np.ndarray, np.ndarray], float]) – The function that returns the statistic to be calculated on x and y.

  • size (int) – The number of permutation replicates to generate

Returns

A numpy array of bootstrap replicates

permutation_2sample_independent(x: numpy.ndarray, y: numpy.ndarray, func: Callable[[numpy.ndarray, numpy.ndarray], Any], size: int = 5000) → numpy.ndarray[source]

Generate permutation replicates from two samples by permuting them independently.

Parameters

  • x (arraylike) – The first sample from which replicates will be drawn

  • y (arraylike) – The second sample from which replicates will be drawn

  • func (callable[[np.ndarray, np.ndarray], float]) – The function that returns the statistic to be calculated on x and y.

  • size (int) – The number of permutation replicates to generate

Returns

A numpy array of bootstrap replicates