BootstrapResult

Result of a bootstrap confidence interval computation.

Usage

Source

BootstrapResult(
    estimate,
    se,
    conf_low,
    conf_high,
    conf_level,
    ci_type,
    n_boot,
    distribution,
)

Attributes

estimate: float

Point estimate from the original (non-resampled) data.

se: float

Bootstrap standard error (standard deviation of the bootstrap distribution).

conf_low: float

Lower confidence limit.

conf_high: float

Upper confidence limit.

conf_level: float

Confidence level used for the interval.

ci_type: str

Type of confidence interval ("percentile", "normal", or "bca").

n_boot: int

Number of bootstrap replicates.

distribution: Array

The full bootstrap distribution (array of length n_boot=).

Methods

Name	Description
to_frame()	Export the result as a single-row DataFrame.

---

to_frame()

Export the result as a single-row DataFrame.

Usage

Source

to_frame(
    *,
    format=None,
)

Parameters

format: str | None = None

Backend format: "pandas", "polars", or "pyarrow". Default (None) uses the first available backend.